Class  Description 

RandomByteClusterer 
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.

RandomClusterer 
Given a similarity or distance matrix, this clusterer randomly selects a
number of clusters and randomly assigned each row to each cluster.

RandomDoubleClusterer 
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.

RandomFloatClusterer 
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.

RandomIntClusterer 
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.

RandomLongClusterer 
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.

RandomSetByteClusterer 
A similar strategy to
RandomSetByteClusterer however it is
guaranteed that the same training vector will not be sampled more than once. 
RandomSetDoubleClusterer 
A similar strategy to
RandomSetDoubleClusterer however it is
guaranteed that the same training vector will not be sampled more than once. 
RandomSetFloatClusterer 
A similar strategy to
RandomSetFloatClusterer however it is
guaranteed that the same training vector will not be sampled more than once. 
RandomSetIntClusterer 
A similar strategy to
RandomSetIntClusterer however it is
guaranteed that the same training vector will not be sampled more than once. 
RandomSetLongClusterer 
A similar strategy to
RandomSetLongClusterer however it is
guaranteed that the same training vector will not be sampled more than once. 
RandomSetShortClusterer 
A similar strategy to
RandomSetShortClusterer however it is
guaranteed that the same training vector will not be sampled more than once. 
RandomShortClusterer 
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.
