| Class | Description |
|---|---|
| KMeans |
K-means clustering with support for multiple parallel runs and a k-means++ like initialization
mode (the k-means|| algorithm by Bahmani et al).
|
| KMeansModel |
A clustering model for K-means.
|
| LocalKMeans |
An utility object to run K-means locally.
|
| StreamingKMeans |
:: DeveloperApi ::
StreamingKMeans provides methods for configuring a
streaming k-means analysis, training the model on streaming,
and using the model to make predictions on streaming data.
|
| StreamingKMeansModel |
:: DeveloperApi ::
StreamingKMeansModel extends MLlib's KMeansModel for streaming
algorithms, so it can keep track of a continuously updated weight
associated with each cluster, and also update the model by
doing a single iteration of the standard k-means algorithm.
|
| VectorWithNorm |
A vector with its norm for fast distance computation.
|