public class LocalKMeans
extends Object
| Constructor and Description | 
|---|
| LocalKMeans() | 
| Modifier and Type | Method and Description | 
|---|---|
| static org.apache.spark.mllib.clustering.VectorWithNorm[] | kMeansPlusPlus(int seed,
              org.apache.spark.mllib.clustering.VectorWithNorm[] points,
              double[] weights,
              int k,
              int maxIterations)Run K-means++ on the weighted point set  points. | 
| static void | org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1) | 
| static org.slf4j.Logger | org$apache$spark$internal$Logging$$log_() | 
public static org.apache.spark.mllib.clustering.VectorWithNorm[] kMeansPlusPlus(int seed,
                                                                                org.apache.spark.mllib.clustering.VectorWithNorm[] points,
                                                                                double[] weights,
                                                                                int k,
                                                                                int maxIterations)
points. This first does the K-means++
 initialization procedure and then rounds of Lloyd's algorithm.seed - (undocumented)points - (undocumented)weights - (undocumented)k - (undocumented)maxIterations - (undocumented)public static org.slf4j.Logger org$apache$spark$internal$Logging$$log_()
public static void org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1)