public ActionResult Index(
long[] matterIds,
short[] characteristicLinkIds,
Notation[] notations,
Language[] languages,
int clustersCount,
ClusterizationType clusterizationType,
double equipotencyWeight = 1,
double normalizedDistanceWeight = 1,
double distanceWeight = 1,
double bandwidth = 0,
int maximumClusters = 2)
{
return(CreateTask(() =>
{
var characteristicNames = new string[characteristicLinkIds.Length];
var mattersCharacteristics = new object[matterIds.Length];
var characteristics = new double[matterIds.Length][];
matterIds = matterIds.OrderBy(m => m).ToArray();
Dictionary <long, string> matters = db.Matter.Where(m => matterIds.Contains(m.Id)).ToDictionary(m => m.Id, m => m.Name);
for (int j = 0; j < matterIds.Length; j++)
{
long matterId = matterIds[j];
characteristics[j] = new double[characteristicLinkIds.Length];
for (int i = 0; i < characteristicLinkIds.Length; i++)
{
Notation notation = notations[i];
long sequenceId = db.Matter.Single(m => m.Id == matterId).Sequence.Single(c => c.Notation == notation).Id;
int characteristicLinkId = characteristicLinkIds[i];
if (db.CharacteristicValue.Any(c => c.SequenceId == sequenceId && c.CharacteristicLinkId == characteristicLinkId))
{
characteristics[j][i] = db.CharacteristicValue.Single(c => c.SequenceId == sequenceId && c.CharacteristicLinkId == characteristicLinkId).Value;
}
else
{
Chain tempChain = commonSequenceRepository.GetLibiadaChain(sequenceId);
Link link = characteristicTypeLinkRepository.GetLinkForCharacteristic(characteristicLinkId);
FullCharacteristic characteristic = characteristicTypeLinkRepository.GetCharacteristic(characteristicLinkId);
IFullCalculator calculator = FullCalculatorsFactory.CreateCalculator(characteristic);
characteristics[j][i] = calculator.Calculate(tempChain, link);
}
}
}
for (int k = 0; k < characteristicLinkIds.Length; k++)
{
characteristicNames[k] = characteristicTypeLinkRepository.GetCharacteristicName(characteristicLinkIds[k], notations[k]);
}
var clusterizationParams = new Dictionary <string, double>
{
{ "clustersCount", clustersCount },
{ "equipotencyWeight", equipotencyWeight },
{ "normalizedDistanceWeight", normalizedDistanceWeight },
{ "distanceWeight", distanceWeight },
{ "bandwidth", bandwidth },
{ "maximumClusters", maximumClusters }
};
IClusterizator clusterizator = ClusterizatorsFactory.CreateClusterizator(clusterizationType, clusterizationParams);
int[] clusterizationResult = clusterizator.Cluster(clustersCount, characteristics);
for (int i = 0; i < clusterizationResult.Length; i++)
{
mattersCharacteristics[i] = new
{
MatterName = matters[matterIds[i]],
cluster = clusterizationResult[i] + 1,
Characteristics = characteristics[i]
};
}
var characteristicsList = new SelectListItem[characteristicLinkIds.Length];
for (int i = 0; i < characteristicNames.Length; i++)
{
characteristicsList[i] = new SelectListItem
{
Value = i.ToString(),
Text = characteristicNames[i],
Selected = false
};
}
var result = new Dictionary <string, object>
{
{ "characteristicNames", characteristicNames },
{ "characteristics", mattersCharacteristics },
{ "characteristicsList", characteristicsList },
{ "clustersCount", clusterizationResult.Distinct().Count() }
};
return new Dictionary <string, object>
{
{ "data", JsonConvert.SerializeObject(result) }
};
}));
}
public ActionResult Index(
long[] matterIds,
short[] characteristicLinkIds,
Notation[] notations,
Language?[] languages,
Translator?[] translators,
PauseTreatment?[] pauseTreatments,
bool?[] sequentialTransfers,
ImageOrderExtractor?[] trajectories,
int clustersCount,
ClusterizationType clusterizationType,
double equipotencyWeight = 1,
double normalizedDistanceWeight = 1,
double distanceWeight = 1,
double bandwidth = 0,
int maximumClusters = 2)
{
return(CreateTask(() =>
{
Dictionary <long, string> mattersNames;
Dictionary <long, string> matters = Cache.GetInstance()
.Matters
.Where(m => matterIds.Contains(m.Id))
.ToDictionary(m => m.Id, m => m.Name);
long[][] sequenceIds;
using (var db = new LibiadaWebEntities())
{
var commonSequenceRepository = new CommonSequenceRepository(db);
sequenceIds = commonSequenceRepository.GetSequenceIds(matterIds,
notations,
languages,
translators,
pauseTreatments,
sequentialTransfers,
trajectories);
mattersNames = db.Matter.Where(m => matterIds.Contains(m.Id)).ToDictionary(m => m.Id, m => m.Name);
}
double[][] characteristics;
characteristics = SequencesCharacteristicsCalculator.Calculate(sequenceIds, characteristicLinkIds);
var clusterizationParams = new Dictionary <string, double>
{
{ "clustersCount", clustersCount },
{ "equipotencyWeight", equipotencyWeight },
{ "normalizedDistanceWeight", normalizedDistanceWeight },
{ "distanceWeight", distanceWeight },
{ "bandwidth", bandwidth },
{ "maximumClusters", maximumClusters }
};
IClusterizator clusterizator = ClusterizatorsFactory.CreateClusterizator(clusterizationType, clusterizationParams);
int[] clusterizationResult = clusterizator.Cluster(clustersCount, characteristics);
var mattersCharacteristics = new object[matterIds.Length];
for (int i = 0; i < clusterizationResult.Length; i++)
{
mattersCharacteristics[i] = new
{
MatterName = mattersNames[matterIds[i]],
cluster = clusterizationResult[i] + 1,
Characteristics = characteristics[i]
};
}
var characteristicNames = new string[characteristicLinkIds.Length];
var characteristicsList = new SelectListItem[characteristicLinkIds.Length];
var characteristicTypeLinkRepository = FullCharacteristicRepository.Instance;
for (int k = 0; k < characteristicLinkIds.Length; k++)
{
characteristicNames[k] = characteristicTypeLinkRepository.GetCharacteristicName(characteristicLinkIds[k], notations[k]);
characteristicsList[k] = new SelectListItem
{
Value = k.ToString(),
Text = characteristicNames[k],
Selected = false
};
}
var result = new Dictionary <string, object>
{
{ "characteristicNames", characteristicNames },
{ "characteristics", mattersCharacteristics },
{ "characteristicsList", characteristicsList },
{ "clustersCount", clusterizationResult.Distinct().Count() }
};
return new Dictionary <string, string> {
{ "data", JsonConvert.SerializeObject(result) }
};
}));
}