static void Main(string[] args)
{
// Initialize the case base
org.opencbr.core.engine.DefaultEngine _engine = new org.opencbr.core.engine.DefaultEngine();
string _env = @"D:\projects\opencbr\sample\workspace\config.xml";
_engine.SetEnvironmentVariable(_env);
// Initialize the problem
Case _problem = new Case(1, "cooling", "cooling problem");
_problem.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
19.0, 0.3, false, false);
_problem.AddFeature("temp", FeatureType.TYPE_FEATURE_FLOAT,
44.0, 0.7, false, false); ////initialize to 51 or 44 to demo retrieval of closest cases (3 versus 4) from Database
_problem.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
232.0, 1.0, false, false);
_engine.SetProblem(_problem);
// Run the reasoning engine
_engine.Startup();
_engine.Run();
// Print the result of reasoning
org.opencbr.core.context.ICBRContext ctx = _engine.GetCBRContext();
org.opencbr.core.express.Case c = ctx.GetSolutionCase();
Console.WriteLine(c);
}
[SetUp] public void Init()
{
//_problem.AddFeature("硬度等级", FeatureType.TYPE_FEATURE_INT,
// 193, 1, false, false);
//_problem.AddFeature("厚度等级", FeatureType.TYPE_FEATURE_INT,
// 2, 1, false, false);
//_problem.AddFeature("目标卷温等级", FeatureType.TYPE_FEATURE_INT,
// 1, 1, false, false);
//_problem.AddFeature("目标卷温", FeatureType.TYPE_FEATURE_FLOAT,
// 570.056, 1, false, false);
//_problem.AddFeature("终轧厚度", FeatureType.TYPE_FEATURE_FLOAT,
// 2.6, 1, false, false);
//_problem.AddFeature("终轧速度", FeatureType.TYPE_FEATURE_FLOAT,
// 11.12, 1, false, false);
//_problem.AddFeature("水温", FeatureType.TYPE_FEATURE_FLOAT,
// 31.35, 1, false, false);
//_problem.AddFeature("上始阀", FeatureType.TYPE_FEATURE_INT,
// 45, 1, true, true);
_problem.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
19.0, 0.3, false, false);
_problem.AddFeature("temp", FeatureType.TYPE_FEATURE_FLOAT,
44.0, 0.7, false, false); ////initialize to 51 or 44 to demo retrieval of closest cases (3 versus 4) from Database
_problem.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
232.0, 1.0, false, false);
_engine.SetEnvironmentVariable(_env);
_engine.SetProblem(_problem);
}
public static Case Clone(Case c)
{
if (c == null)
{
return(null);
}
FeatureList list = new FeatureList();
Case instance = CaseFactory.CreateInstance(c.GetCaseID(),
c.GetCaseName(),
c.GetCaseDescription(),
c.GetCaseType(),
list);
System.Collections.ArrayList features = c.GetFeatures();
foreach (Feature f in features)
{
c.AddFeature(f.GetFeatureName(),
f.GetFeatureType(),
f.GetFeatureValue(),
f.GetWeight(),
f.GetIsKey(),
f.GetIsIndex(),
f.GetFeatureUnit());
}
return(instance);
}
/// <summary>
/// test init
/// case 1 data:
/// speed 2.0
/// temperature 3.5
/// quality 0.7
/// result 1
/// case 2 data:
/// speed 3.0
/// temperature 6.7
/// quality 0.6
/// result 2
///
/// </summary>
[SetUp] public void Init()
{
c1.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0.5, false, false);
c2.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
3.0, 0.5, false, false);
c1.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
3.0, 0.3, false, false);
c2.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
4.0, 0.3, false, false);
c1.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
1.0, 0.2, false, false);
c2.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0.2, false, false);
c1.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
1.0, 0, true, false);
c2.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0, true, false);
}
private void CreateCase(string[] values)
{
Case c = CaseFactory.CreateInstance(_caseName);
c.SetCaseID(_caseID);
for (int i = 0; i < _featureNames.Length; i++)
{
string name = _featureNames[i];
string v = values[i];
Feature f = Find(name);
if (f != null)
{
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_BOOL)
{
}
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_FLOAT)
{
double fValue = Convert.ToDouble(v);
c.AddFeature(f.GetFeatureName(), f.GetFeatureType(),
fValue, f.GetWeight(), f.GetIsKey(),
f.GetIsIndex());
}
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_IMAGE)
{
}
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_INT)
{
}
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_MSTRING)
{
}
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_STRING)
{
}
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_UNDEFINED)
{
}
}
}
_cases.Add(c);
_caseID++;
}
/// <summary>
/// Find the mean point of the given point cloud
/// </summary>
/// <param name="points">A set of points</param>
/// <returns>The centroid</returns>
private static Case mean(IEnumerable <Case> points)
{
int count = points.Count();
int sumf = 0;
Feature f = new Feature();
Case result = new Case(1, "", "");
for (int j = 1; j < points.First().GetFeatures().Count; j++)
{
Feature r = (Feature)result.GetFeatures()[j];
foreach (Case c in points)
{
f = (Feature)c.GetFeatures()[j];
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_INT)
{
sumf += (int)f.GetFeatureValue();
}
}
result.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumf / points.Count(), 1.0, false, false, f.GetFeatureUnit());
}
return(result);
}
public static Case ReCalcCentroid(List <Case> list, int centroid_id) // generate new centroid for the cluster
{
int count = list.Count();
List <int> sums_count = new List <int>();
Case result = null;
int sumf = 0; double sumd = 0; bool sumb = false; List <string> sumst = new List <string>();
if (count != 0)
{
Feature f = new Feature();
result = new Case(list[0].GetCaseID(), list[0].GetCaseName(), list[0].GetCaseDescription());
for (int j = 0; j < list.First().GetFeatures().Count; j++)
{
foreach (Case c in list)
{
f = (Feature)c.GetFeatures()[j];
if (f.GetFeatureName() == "id" || f.GetFeatureName() == "cluster")
{
break;
}
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_INT)
{
sumf += Convert.ToInt32(f.GetFeatureValue());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_FLOAT)
{
sumd += Convert.ToDouble(f.GetFeatureValue());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_BOOL)
{
sumb = (sumb || Convert.ToBoolean(f.GetFeatureValue()));
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_STRING || f.GetFeatureType() == FeatureType.TYPE_FEATURE_CATEGORICAL)
{
int position = sumst.IndexOf(f.GetFeatureValue().ToString());
if (position >= 0)
{
sums_count[position] = sums_count[position] + 1;
}
else
{
sumst.Add(f.GetFeatureValue().ToString());
sums_count.Add(1);
}
}
}
if (f.GetFeatureName() == "cluster")
{
result.AddFeature(f.GetFeatureName(), f.GetFeatureType(), -1, f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureName() == "id")
{
result.AddFeature(f.GetFeatureName(), f.GetFeatureType(), centroid_id, f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_INT)
{
result.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumf / list.Count(), f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_FLOAT)
{
result.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumd / list.Count(), f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_BOOL)
{
result.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumb, f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_STRING || f.GetFeatureType() == FeatureType.TYPE_FEATURE_CATEGORICAL)
{
int max = sums_count.IndexOf(sums_count.Max());
string string_value = sumst[max];
result.AddFeature(f.GetFeatureName(), f.GetFeatureType(), string_value, f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
/* Random rd = new Random(); // for calculating random numbers
* int rnd = rd.Next(sumst.Count);
* result.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumst[rnd].ToString(), 1.0, false, false,"");*/
}
sumf = 0;
sumd = 0;
sumb = false;
}
}
return(result);
}
/// <summary>
/// Get the centroid of a set of points
/// cf. http://en.wikipedia.org/wiki/Centroid
/// Consider also: Metoid cf. http://en.wikipedia.org/wiki/Medoids
/// </summary>
/// <param name="pcs"></param>
/// <returns></returns>
private List <Case> GetCentroid(PointClusters pcs)
{
List <Case> newSeeds = new List <Case>(pcs.PC.Count);
int sumf = 0; double sumd = 0; bool sumb = false;
List <string> sumst = new List <string>();
List <int> sums_count = new List <int>();
Feature f = new Feature();
int t = 0;
foreach (List <Case> cluster in pcs.PC.Values)
{
Case newSeed = new Case(cluster[0].GetCaseID(), cluster[0].GetCaseName(), cluster[0].GetCaseDescription());
for (int j = 0; j < cluster[0].GetFeatures().Count; j++)
{
foreach (Case p in cluster)
{
f = (Feature)p.GetFeatures()[j];
if (f.GetFeatureName() == "id" || f.GetFeatureName() == "cluster")
{
break;
}
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_INT || f.GetFeatureType() == FeatureType.TYPE_FEATURE_Ordinal)
{
sumf += Convert.ToInt32(f.GetFeatureValue());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_FLOAT)
{
sumd += Convert.ToDouble(f.GetFeatureValue());
}
// else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_BOOL)
// sumb = (sumb || Convert.ToBoolean(f.GetFeatureValue()));
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_STRING || f.GetFeatureType() == FeatureType.TYPE_FEATURE_CATEGORICAL || f.GetFeatureType() == FeatureType.TYPE_FEATURE_BOOL)
{
int position = sumst.IndexOf(f.GetFeatureValue().ToString());
if (position >= 0)
{
sums_count[position] = sums_count[position] + 1;
}
else
{
sumst.Add(f.GetFeatureValue().ToString());
sums_count.Add(1);
}
}
}
if (f.GetFeatureName() == "cluster")
{
newSeed.AddFeature(f.GetFeatureName(), f.GetFeatureType(), -1, f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureName() == "id")
{
newSeed.AddFeature(f.GetFeatureName(), f.GetFeatureType(), t, f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_INT || f.GetFeatureType() == FeatureType.TYPE_FEATURE_Ordinal)
{
newSeed.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumf / cluster.Count(), f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_FLOAT)
{
newSeed.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumd / cluster.Count(), f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_BOOL)
{
int max = sums_count.IndexOf(sums_count.Max());
sumb = Convert.ToBoolean(sumst[max]);
newSeed.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumb, f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_STRING || f.GetFeatureType() == FeatureType.TYPE_FEATURE_CATEGORICAL)
{
int max = sums_count.IndexOf(sums_count.Max());
string string_value = sumst[max];
newSeed.AddFeature(f.GetFeatureName(), f.GetFeatureType(), string_value, f.GetWeight(), f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
sumf = 0;
sumd = 0;
sumb = false;
sumst.Clear();
sums_count.Clear();
} // end feature
newSeeds.Add(newSeed);
sumf = 0;
sumd = 0;
sumb = false;
sumst.Clear();
sums_count.Clear();
t++;
}// end clusters
return(newSeeds);
}
//=========================================================================================
public void GenerateRandomCases()
{
exp_random_cases.Clear();
Case Max_Mean = Db.get_Case_data(standrize_table, -2);
Case Min_Sd = Db.get_Case_data(standrize_table, -3);
Random r = new Random();
List <Case> Cases = Db.get_cases_condition(tablename, casename);
for (int i = 0; i < 100; i++)
{
double x = 0;
Case c = new Case(0, Max_Mean.GetCaseName(), "");
for (int j = 0; j < Max_Mean.GetFeatures().Count; j++)
{
Feature max_f = (Feature)Max_Mean.GetFeatures()[j];
Feature min_f = (Feature)Min_Sd.GetFeatures()[j];
if (max_f.GetFeatureName() == "id")
{
x = (double)i;
}
else if (max_f.GetFeatureName() == "cluster")
{
x = -1;
}
else if (max_f.GetFeatureType() >= 5 && max_f.GetFeatureType() <= 9)// mstring, string, ordinal, categorical
{
int k = r.Next(0, Cases.Count);
Feature f = (Feature)Cases[k].GetFeatures()[j];
c.AddFeature(max_f.GetFeatureName(), max_f.GetFeatureType(), f.GetFeatureValue(), max_f.GetWeight(), max_f.GetIsKey(), max_f.GetIsIndex(), max_f.GetFeatureUnit());
continue;
}
else if (max_f.GetFeatureType() == 1)// mstring, string, ordinal, categorical
{
int k = r.Next(0, 2);
bool o = false;
if (k == 1)
{
o = true;
}
c.AddFeature(max_f.GetFeatureName(), max_f.GetFeatureType(), o, max_f.GetWeight(), max_f.GetIsKey(), max_f.GetIsIndex(), max_f.GetFeatureUnit());
continue;
}
else if (max_f.GetFeatureType() == 2)
{
int max = Convert.ToInt32(max_f.GetFeatureValue());
int min = Convert.ToInt32(min_f.GetFeatureValue());
x = r.Next(min, max + 1);
}
else
{
double max = Convert.ToDouble(max_f.GetFeatureValue());
double min = Convert.ToDouble(min_f.GetFeatureValue());
x = r.NextDouble(min, max + 0.05);
x = Math.Round(x, 1);
}
c.AddFeature(max_f.GetFeatureName(), max_f.GetFeatureType(), x, max_f.GetWeight(), max_f.GetIsKey(), max_f.GetIsIndex(), max_f.GetFeatureUnit());
}
exp_random_cases_nonstandrize.Add(c);
// i have to put general seetings for normalization
exp_random_cases.Add(BestChoice.StandardizeCase(c, Max_Mean, Min_Sd, standrize_type));
}
}
public static ArrayList GetCases(DataSource ds,
string dictionaryTable,
string dataTable, string caseID)
{
string sql = "select * from " + dictionaryTable
+ " where "+ FIELD_CASEID + "='"
+ caseID + "'";
try
{
//read case structure
Case c = CaseFactory.CreateInstance(caseID);
OleDbConnection conn = new OleDbConnection(ds.GetConnectionString());
OleDbCommand cmd = conn.CreateCommand();
conn.Open();
OleDbDataReader reader = ExecuteQuery(cmd, sql);
while (reader.Read())
{
string name = reader[FIELD_FEATURENAME].ToString();
string type = reader[FIELD_FEATURETYPE].ToString();
string key = reader[FIELD_KEY].ToString();
string index = reader[FIELD_INDEX].ToString();
string weight = reader[FIELD_WEIGHT].ToString();
string unit = reader[FIELD_FEATUREUNIT].ToString();
c.AddFeature(name, GetType(type), null,
Convert.ToDouble(weight), GetBOOL(key), GetBOOL(index), unit);
}
reader.Close();
//read cases
ArrayList features = c.GetFeatures();
ArrayList cases = new ArrayList();
if (ds.GetConditions() != null)
{
sql = "select * from " + dataTable + " where " + FIELD_CASEID + "='"
+ caseID + "' and " + ds.GetConditions();
}
else
{
sql = "select * from " + dataTable + " where " + FIELD_CASEID + "='"
+ caseID + "'";
}
reader = ExecuteQuery(cmd, sql);
while (reader.Read())
{
Case theCase = CaseFactory.CreateInstance(caseID);
foreach (Feature f in features)
{
string featureName = f.GetFeatureName();
object featureValue = reader[featureName];
theCase.AddFeature(f.GetFeatureName(), f.GetFeatureType(),
featureValue, f.GetWeight(),
f.GetIsKey(), f.GetIsIndex(), f.GetFeatureUnit());
}
cases.Add(theCase);
}
reader.Close();
cmd.Cancel();
conn.Close();
return(cases);
}
catch (Exception e)
{
System.Console.WriteLine(e.Message);
return(null);
}
}
private void button5_Click_1(object sender, EventArgs e)
{
statistics = new Statistics(mybestchoice.TableName, mybestchoice.CaseName);
Case Max_Mean = Db.get_Case_data(statistics.standrize_table, -2);
Case Min_Sd = Db.get_Case_data(statistics.standrize_table, -3);
string url = "";
System.IO.StreamReader reader = null;
OpenFileDialog openFileDialog1 = new OpenFileDialog();
ArrayList inputs = new ArrayList();
// Set filter options and filter index.
openFileDialog1.Filter = "Text Files (.key)|*.key|All Files (*.*)|*.*";
openFileDialog1.FilterIndex = 1;
openFileDialog1.Multiselect = true;
// Call the ShowDialog method to show the dialog box.
DialogResult userClickedOK = openFileDialog1.ShowDialog();
// Process input if the user clicked OK.
if (userClickedOK.Equals(DialogResult.OK))
{
url = openFileDialog1.FileName;
reader = File.OpenText(url);
if (reader == null)
{
System.Console.WriteLine("file open failed " + url);
return;
}
for (int i = 0; i < dataGV_CaseEntries.Rows.Count; i++)
{
string s = reader.ReadLine();
dataGV_CaseEntries.Rows[i].Cells["UserEntry"].Value = s;
inputs.Add(s);
}
reader.Close();
}
Case _problem = new Case(0, mybestchoice.CaseName, "");
_problem.AddFeature("id", FeatureType.TYPE_FEATURE_INT, 0, 1.0, false, false, "num");
for (int i = 0; i < dataGV_CaseEntries.Rows.Count - 1; i++)
{
if (dataGV_CaseEntries.Rows[i].Cells["UserEntry"].Value.ToString() != "".ToString())
{
_problem.AddFeature(
dataGV_CaseEntries.Rows[i].Cells["FeatureName"].Value.ToString().Trim(),
Token.GetType(dataGV_CaseEntries.Rows[i].Cells["FeatureType"].Value.ToString().Trim()),
dataGV_CaseEntries.Rows[i].Cells["UserEntry"].Value.ToString().Trim(),
Convert.ToDouble(dataGV_CaseEntries.Rows[i].Cells["FeatureWeight"].Value.ToString().Trim()),
Convert.ToBoolean(dataGV_CaseEntries.Rows[i].Cells["FeatureKey"].Value.ToString().Trim()),
Convert.ToBoolean(dataGV_CaseEntries.Rows[i].Cells["FeatureIndex"].Value.ToString().Trim()),
dataGV_CaseEntries.Rows[i].Cells["FeatureUnit"].Value.ToString().Trim());
}
}
_problem.AddFeature("cluster", FeatureType.TYPE_FEATURE_INT, 0, 1.0, false, false, "num");
statistics.exp_random_cases.Add(BestChoice.StandardizeCase(_problem, Max_Mean, Min_Sd, statistics.standrize_type));
statistics.exp_random_cases_nonstandrize.Add(_problem);
mybestchoice.Problem = statistics.exp_random_cases_nonstandrize[0];
mybestchoice.StandrizeProblem = statistics.exp_random_cases[0];
}
private void CreateCase(string[] values)
{
Case c = CaseFactory.CreateInstance(_caseName);
c.SetCaseID(_caseID);
if (_with_id)
{
c.AddFeature("id", FeatureType.TYPE_FEATURE_INT, feasture_id, 1.0, false, false, "num");
}
feasture_id++;
for (int i = 0; i < _featureNames.Length; i++)
{
string name = _featureNames[i];
string v = values[i];
Feature f = Find(name);
if (f != null)
{
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_BOOL)
{
if (v == "1")
{
v = "True";
}
else
{
v = "False";
}
bool fValue = Convert.ToBoolean(v);
c.AddFeature(f.GetFeatureName(), f.GetFeatureType(),
fValue, f.GetWeight(), f.GetIsKey(),
f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_FLOAT)
{
double fValue = Convert.ToDouble(v);
c.AddFeature(f.GetFeatureName(), f.GetFeatureType(),
fValue, f.GetWeight(), f.GetIsKey(),
f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_IMAGE)
{
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_INT)
{
int fValue = Convert.ToInt32(v);
c.AddFeature(f.GetFeatureName(), f.GetFeatureType(),
fValue, f.GetWeight(), f.GetIsKey(),
f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_MSTRING)
{
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_STRING)
{
string fValue = v;
c.AddFeature(f.GetFeatureName(), f.GetFeatureType(),
fValue, f.GetWeight(), f.GetIsKey(),
f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_CATEGORICAL)
{
string fValue = v;
c.AddFeature(f.GetFeatureName(), f.GetFeatureType(),
fValue, f.GetWeight(), f.GetIsKey(),
f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_Ordinal)
{
int fValue = Convert.ToInt32(v);
c.AddFeature(f.GetFeatureName(), f.GetFeatureType(),
fValue, f.GetWeight(), f.GetIsKey(),
f.GetIsIndex(), f.GetFeatureUnit());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_UNDEFINED)
{
}
}
}
if (_with_id)
{
c.AddFeature("cluster", FeatureType.TYPE_FEATURE_INT, -4, 1.0, false, false, "num");
}
_cases.Add(c);
_list_cases.Add(c);
_caseID++;
}
[SetUp] public void Init()
{
if (list.Count > 0)
{
list.Clear();
}
c1.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0.5, false, false);
c2.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
3.8, 0.5, false, false);
c3.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
7.0, 0.5, false, false);
c4.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
9.0, 0.5, false, false);
c5.AddFeature("speed", FeatureType.TYPE_FEATURE_FLOAT,
5.0, 0.5, false, false);
c1.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
3.0, 0.3, false, false);
c2.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
4.0, 0.3, false, false);
c3.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0.3, false, false);
c4.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
7.0, 0.3, false, false);
c5.AddFeature("temperature", FeatureType.TYPE_FEATURE_FLOAT,
1.0, 0.3, false, false);
c1.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
1.0, 0.2, false, false);
c2.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0.2, false, false);
c3.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
5.0, 0.2, false, false);
c4.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
7.0, 0.2, false, false);
c5.AddFeature("quality", FeatureType.TYPE_FEATURE_FLOAT,
3.0, 0.2, false, false);
c1.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
1.0, 0, true, false);
c2.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
2.0, 0, true, false);
c3.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
6.0, 0, true, false);
c4.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
8.0, 0, true, false);
c5.AddFeature("result", FeatureType.TYPE_FEATURE_FLOAT,
11.0, 0, true, false);
IStat s1 = StatFactory.newInstance();
s1.SetCBRCase(c1);
s1.SetCaseSimilarity(400.03);
list.Add(s1);
IStat s2 = StatFactory.newInstance();
s2.SetCBRCase(c2);
s2.SetCaseSimilarity(300.3);
list.Add(s2);
IStat s3 = StatFactory.newInstance();
s3.SetCBRCase(c3);
s3.SetCaseSimilarity(200.4);
list.Add(s3);
IStat s4 = StatFactory.newInstance();
s4.SetCBRCase(c4);
s4.SetCaseSimilarity(100.45);
list.Add(s4);
IStat s5 = StatFactory.newInstance();
s5.SetCBRCase(c5);
s5.SetCaseSimilarity(80.23);
list.Add(s5);
//test case 1
stat1 = StatFactory.newInstance();
stat1.SetCBRCase(c1);
stat1.SetCaseSimilarity(111.098);
//test case 2 for upper bound
stat2 = StatFactory.newInstance();
stat2.SetCBRCase(c1);
stat2.SetCaseSimilarity(50.098);
//test case 3 for under bound
stat3 = StatFactory.newInstance();
stat3.SetCBRCase(c1);
stat3.SetCaseSimilarity(1110.098);
}
/// <summary>
/// Get the centroid of a set of points
/// cf. http://en.wikipedia.org/wiki/Centroid
/// Consider also: Metoid cf. http://en.wikipedia.org/wiki/Medoids
/// </summary>
/// <param name="pcs"></param>
/// <returns></returns>
private List <Case> GetCentroid(PointClusters pcs)
{
List <Case> newSeeds = new List <Case>(pcs.PC.Count);
Case newSeed;
int sumf = 0; double sumd = 0; bool sumb = false; List <string> sumst = new List <string>();
Feature f = new Feature();
foreach (List <Case> cluster in pcs.PC.Values)
{
newSeed = new Case(cluster[0].GetCaseID(), cluster[0].GetCaseName(), cluster[0].GetCaseDescription());
for (int j = 0; j < cluster[0].GetFeatures().Count; j++)
{
foreach (Case p in cluster)
{
f = (Feature)p.GetFeatures()[j];
if (f.GetFeatureName() == "id")
{
break;
}
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_INT)
{
sumf += Convert.ToInt32(f.GetFeatureValue());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_FLOAT)
{
sumd += Convert.ToDouble(f.GetFeatureValue());
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_BOOL)
{
sumb = (sumb || Convert.ToBoolean(f.GetFeatureValue()));
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_STRING)
{
sumst.Add(f.GetFeatureValue().ToString());
}
}
if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_INT)
{
newSeed.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumf / cluster.Count(), 1.0, false, false, "");
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_FLOAT)
{
newSeed.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumd / cluster.Count(), 1.0, false, false, "");
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_BOOL)
{
newSeed.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumb, 1.0, false, false, "");
}
else if (f.GetFeatureType() == FeatureType.TYPE_FEATURE_STRING)
{
Random rd = new Random(); // for calculating random numbers
int rnd = rd.Next(sumst.Count);
newSeed.AddFeature(f.GetFeatureName(), f.GetFeatureType(), sumst[rnd].ToString(), 1.0, false, false, "");
}
// newSeed = new Case(sumX / cluster.Count, sumY / cluster.Count);
// newSeeds.Add(newSeed);
}
newSeeds.Add(newSeed);
sumf = 0;
sumd = 0;
sumb = false;
sumst.Clear();
}
return(newSeeds);
}