Package | Description |
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jsat.clustering.dissimilarity |
Modifier and Type | Class and Description |
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class |
AverageLinkDissimilarity
Also known as Group-Average Agglomerative Clustering (GAAC) and UPGMA, this
measure computer the dissimilarity by summing the distances between all
possible data point pairs in the union of the clusters.
|
class |
CentroidDissimilarity
Average similarity of all data point pairs between clusters, inter-cluster
pairs are ignored.
|
class |
CompleteLinkDissimilarity
Measures the dissimilarity of two clusters by returning the value of the
maximal dissimilarity of any two pairs of data points where one is from
each cluster.
|
class |
DistanceMetricDissimilarity
A base class for Dissimilarity measures that are build ontop the use of some
distance metric . |
class |
LanceWilliamsDissimilarity
This class provides a base implementation of a Lance Williams (LW)
Dissimilarity measure, which is updatable.
|
class |
MedianDissimilarity
Median link dissimilarity, also called WPGMC.
|
class |
SingleLinkDissimilarity
Measures the dissimilarity of two clusters by returning the minimum
dissimilarity between the two closest data points from the clusters, ie:
the minimum distance needed to link the two clusters.
|
class |
WardsDissimilarity
An implementation of Ward's method for hierarchical clustering.
|
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