| Class | Description |
|---|---|
| AKMeans |
Approximate KMeans mapreduce implementation
|
| AKMeans.Combine |
for efficiency, combine centroids early, emitting sums and k for
centroids combined
|
| AKMeans.Map |
the map for approximate kmeans.
|
| AKMeans.Reduce |
The AKmeans reducer.
|
| FeatureCount |
Map Reduce job to count features
|
| FeatureCount.Map |
Map class.
|
| FeatureCount.Reduce |
Reduce class.
|
| FeatureSelect |
Map-Reduce (random) feature selection
|
| FeatureSelect.Map |
Mapper
|
| FeatureSelect.Reduce |
Reducer
|
| HadoopFastKMeans |
Approximate/Exact K-Means over Hadoop
|
| HadoopFastKMeansOptions | |
| ImageFeatureSelect | |
| ImageFeatureSelect.Map | |
| ImageFeatureSelect.Reduce | |
| IndexedByteArray | |
| IndexedByteArrayPriorityQueue | |
| IntBytesSequenceMemoryUtility | |
| SampleEqualityChecker | |
| SequenceFileByteDataSelector | |
| SequenceFileByteFeatureSelector | |
| SequenceFileByteImageFeatureSelector | |
| TextBytesSequenceMemoryUtility |