MLPACK
1.0.7
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K-Means clustering. More...
Classes | |
class | AllowEmptyClusters |
Policy which allows K-Means to create empty clusters without any error being reported. More... | |
class | KMeans |
This class implements K-Means clustering. More... | |
class | MaxVarianceNewCluster |
When an empty cluster is detected, this class takes the point furthest from the centroid of the cluster with maximum variance as a new cluster. More... | |
class | RandomPartition |
A very simple partitioner which partitions the data randomly into the number of desired clusters. More... | |
class | RefinedStart |
A refined approach for choosing initial points for k-means clustering. More... | |
K-Means clustering.