public class LocalKMeans
extends Object
Constructor and Description |
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LocalKMeans() |
Modifier and Type | Method and Description |
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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)