Package edu.ucla.sspace.clustering.seeding

Interface Summary

Interface	Description
KMeansSeed	An interface for KMeans seeding algorithms.

Class Summary

Class	Description
GeneralizedOrssSeed	A utility class for selected k data points as seeds from a list of n >> k data points using a general method for comparing the similarity (distance) of data points.
KMeansPlusPlusSeed	This KMeansSeed implementation attempts to select centroids from the set of data points that are well scattered.
OrssSeed	Select seeds using a modification of the ORSS algorithm.
RandomSeed	This KMeansSeed implementation selects data points at random from any given data set to serve as the initial centroid seeds.