public void Run()
{
DateTime expSt = DateTime.Now;
Console.WriteLine("========================================================================");
Console.WriteLine(" Metoda porównania: " + comparators[comparatorId].GetType());
Console.WriteLine("========================================================================");
WordsStats stats = new WordsStats(Words.ComputeWords(DataStore.Instance.GetAllNews()));
stats.Compute();
List <string> experimentTopics;
if (topics != null)
{
experimentTopics = new List <string>();
experimentTopics.AddRange(topics);
}
else
{
experimentTopics = GetRandomTopics(topicCount);
}
Group initialGroup = GroupFactory.CreateGroupWithNewsFromTopics(experimentTopics);
Console.WriteLine("========================================================================");
Console.WriteLine("Topiki w grupie początkowej:");
foreach (string topic in experimentTopics)
{
Console.WriteLine(topic + " [" + Util.topicCountInGroup(topic, initialGroup) + "]");
}
Console.WriteLine("Rozmiar grupy: " + initialGroup.Count);
;
DateTime start;
TimeSpan t1, t2;
Hierarchical hr = new Hierarchical(comparators[comparatorId], stats, maxLen);
Kmeans km = new Kmeans(comparators[comparatorId], stats, maxLen);
Console.WriteLine("========================================================================");
if (!onlyKMeans)
{
start = DateTime.Now;
List <Group> hierarchicalResult = hr.Compute(initialGroup, topicCount != 0 ? topicCount : (uint)topics.Length,
Hierarchical.Distance.AVG);
t1 = (DateTime.Now - start);
PrintStats("Hierachical", t1, hierarchicalResult, 0);
}
start = DateTime.Now;
List <Group> kMeansResult = km.Compute(initialGroup, topicCount != 0 ? topicCount : (uint)topics.Length, kMeansIterations);
t2 = (DateTime.Now - start);
PrintStats("KMeans", t2, kMeansResult, kMeansIterations);
Console.WriteLine("========================================================================");
Console.WriteLine("Czas działania: " + (DateTime.Now - expSt));
}
public void ComputeTest()
{
List <Pointer> pointers = new List <Pointer>()
{
new Pointer()
{
X = 1, Y = 21, Z = 0
},
new Pointer()
{
X = 12, Y = 23, Z = 0
},
new Pointer()
{
X = 10, Y = 2, Z = 0
},
new Pointer()
{
X = 3, Y = 10, Z = 0
},
new Pointer()
{
X = 13, Y = 12, Z = 0
},
new Pointer()
{
X = 4, Y = 15, Z = 0
},
new Pointer()
{
X = 9, Y = 6, Z = 0
},
new Pointer()
{
X = 21, Y = 8, Z = 0
},
new Pointer()
{
X = 11, Y = 6, Z = 0
},
new Pointer()
{
X = 21, Y = 9, Z = 0
},
new Pointer()
{
X = 13, Y = 6, Z = 0
},
new Pointer()
{
X = 20, Y = 19, Z = 0
},
new Pointer()
{
X = 20, Y = 19, Z = 0
},
new Pointer()
{
X = 1, Y = 21, Z = 0
},
new Pointer()
{
X = 12, Y = 23, Z = 0
},
new Pointer()
{
X = 10, Y = 2, Z = 0
},
new Pointer()
{
X = 3, Y = 10, Z = 0
},
new Pointer()
{
X = 13, Y = 12, Z = 0
},
new Pointer()
{
X = 4, Y = 15, Z = 0
},
new Pointer()
{
X = 9, Y = 6, Z = 0
},
new Pointer()
{
X = 21, Y = 8, Z = 0
},
new Pointer()
{
X = 11, Y = 6, Z = 0
},
new Pointer()
{
X = 21, Y = 9, Z = 0
},
new Pointer()
{
X = 13, Y = 6, Z = 0
},
new Pointer()
{
X = 20, Y = 19, Z = 0
},
new Pointer()
{
X = 20, Y = 19, Z = 0
},
};
Hierarchical kmeans = new Hierarchical(pointers);
kmeans.Compute(3);
}