public void Run()
{
Console.WriteLine("Downloading news for database...");
List <News> news = DataStore.Instance.GetAllNews(300);
Console.WriteLine("News downloaded " + news.Count);
news = Words.ComputeWords(news);
/*
* CosinusMetricComparator cos = new CosinusMetricComparator();
* EuclidesMetricComparator eu = new EuclidesMetricComparator();
* JaccardMetricCompartator ja = new JaccardMetricCompartator();
*/
var stats = new WordsStats(news);
stats.Compute();
DataStatistics ds = new DataStatistics();
Console.WriteLine("Jaccard metric information: ");
Console.WriteLine(ds.getData(news, stats, 5000, new JaccardMetricCompartator()));
Console.WriteLine("Cosinus metric information: ");
Console.WriteLine(ds.getData(news, stats, 5000, new CosinusMetricComparator()));
Console.WriteLine("Euclides metric information: ");
Console.WriteLine(ds.getData(news, stats, 5000, new EuclidesMetricComparator()));
}
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));
}