de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Interface KMeans

All Known Implementing Classes:

AbstractKMeans, KMeansLloyd, KMeansMacQueen, KMediansLloyd, SameSizeKMeansAlgorithm

public interface KMeans

Some constants and options shared among kmeans family algorithms.

Field Summary

Fields

Modifier and Type	Field and Description
static OptionID	INIT_ID Parameter to specify the initialization method
static OptionID	K_ID Parameter to specify the number of clusters to find, must be an integer greater than 0.
static OptionID	MAXITER_ID Parameter to specify the number of clusters to find, must be an integer greater or equal to 0, where 0 means no limit.
static OptionID	SEED_ID Parameter to specify the random generator seed.

Field Detail

INIT_ID

static final OptionID INIT_ID

Parameter to specify the initialization method

K_ID

static final OptionID K_ID

Parameter to specify the number of clusters to find, must be an integer greater than 0.

MAXITER_ID

static final OptionID MAXITER_ID

Parameter to specify the number of clusters to find, must be an integer greater or equal to 0, where 0 means no limit.

SEED_ID

static final OptionID SEED_ID

Parameter to specify the random generator seed.