org.apache.spark.ml.clustering

Interface BisectingKMeansParams

All Superinterfaces:

HasDistanceMeasure, HasFeaturesCol, HasMaxIter, HasPredictionCol, HasSeed, Identifiable, Params, java.io.Serializable

All Known Implementing Classes:

BisectingKMeans, BisectingKMeansModel

public interface BisectingKMeansParams
extends Params, HasMaxIter, HasFeaturesCol, HasSeed, HasPredictionCol, HasDistanceMeasure

Common params for BisectingKMeans and BisectingKMeansModel

Method Summary

Modifier and Type	Method and Description
int	getK()
double	getMinDivisibleClusterSize()
IntParam	k() The desired number of leaf clusters.
DoubleParam	minDivisibleClusterSize() The minimum number of points (if greater than or equal to 1.0) or the minimum proportion of points (if less than 1.0) of a divisible cluster (default: 1.0).
StructType	validateAndTransformSchema(StructType schema) Validates and transforms the input schema.

Methods inherited from interface org.apache.spark.ml.param.shared.HasMaxIter

getMaxIter, maxIter

Methods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesCol

featuresCol, getFeaturesCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasSeed

getSeed, seed

Methods inherited from interface org.apache.spark.ml.param.shared.HasPredictionCol

getPredictionCol, predictionCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasDistanceMeasure

distanceMeasure, getDistanceMeasure

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copy, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString, uid

Method Detail

getK

int getK()

getMinDivisibleClusterSize

double getMinDivisibleClusterSize()

k

IntParam k()

The desired number of leaf clusters. Must be > 1. Default: 4. The actual number could be smaller if there are no divisible leaf clusters.

Returns:

(undocumented)

minDivisibleClusterSize

DoubleParam minDivisibleClusterSize()

The minimum number of points (if greater than or equal to 1.0) or the minimum proportion of points (if less than 1.0) of a divisible cluster (default: 1.0).

Returns:

(undocumented)

validateAndTransformSchema

StructType validateAndTransformSchema(StructType schema)

Validates and transforms the input schema.

Parameters:

schema - input schema

Returns:

output schema