com.gpudb.protocol

Class AggregateKMeansRequest.Options

java.lang.Object

com.gpudb.protocol.AggregateKMeansRequest.Options

Enclosing class:

AggregateKMeansRequest

public static final class AggregateKMeansRequest.Options
extends Object

Optional parameters.

• WHITEN: When set to 1 each of the columns is first normalized by its stdv - default is not to whiten.
• MAX_ITERS: Number of times to try to hit the tolerance limit before giving up - default is 10.
• NUM_TRIES: Number of times to run the k-means algorithm with a different randomly selected starting points - helps avoid local minimum. Default is 1.

A set of string constants for the parameter options.

Field Summary

Fields

Modifier and Type	Field and Description
static String	MAX_ITERS Number of times to try to hit the tolerance limit before giving up - default is 10.
static String	NUM_TRIES Number of times to run the k-means algorithm with a different randomly selected starting points - helps avoid local minimum.
static String	WHITEN When set to 1 each of the columns is first normalized by its stdv - default is not to whiten.

Method Summary

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

WHITEN

public static final String WHITEN

When set to 1 each of the columns is first normalized by its stdv - default is not to whiten.

See Also:

Constant Field Values

MAX_ITERS

public static final String MAX_ITERS

Number of times to try to hit the tolerance limit before giving up - default is 10.

See Also:

Constant Field Values

NUM_TRIES

public static final String NUM_TRIES

Number of times to run the k-means algorithm with a different randomly selected starting points - helps avoid local minimum. Default is 1.

See Also:

Constant Field Values