FinMath.ClusterAnalysis Namespace |
Classes| Class | Description | |
|---|---|---|
 | AgglomerativeClustering |
Implementation Agglomerative Hierarchical Clustering
http://en.wikipedia.org/wiki/Hierarchical_clustering
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| BaseClustering |
Basic class for clustering analysis methods.
|
| KMeans |
Implementation of K-Means clustering the most popular algorithm in clustering analysis.
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| MetricsCalculator |
Class which contains implementations of useful metrics.
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| QTClustering |
Implementation of QT Clustering.
http://en.wikipedia.org/wiki/Cluster_analysis#QT_clustering_algorithm
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| SparseAgglomerativeClustering |
Special version of Sparse and Fast Agglomerative Clustering Algorithm.
Performs only AgglomerateStrategy.Minimum strategy.
Memory usage O(n), Time Asymptotic O(n^2), where n - objects count.
http://en.wikipedia.org/wiki/Hierarchical_clustering
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Delegates| Delegate | Description | |
|---|---|---|
 | SparseAgglomerativeClusteringGetMetricLineDelegate |
Get distances matrix line with specified index.
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Enumerations| Enumeration | Description | |
|---|---|---|
 | LinkageCriteria |
Linkage Criteria: define method which we use to chose clusters to merge.
http://en.wikipedia.org/wiki/Hierarchical_clustering#Linkage_criteria
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| MetricType |
Type of metrics.
|