| 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.
|