Optional parameters. More...

Public Attributes
const string	WHITEN = "whiten"
	When set to 1 each of the columns is first normalized by its stdv - default is not to whiten. More...

const string	MAX_ITERS = "max_iters"
	Number of times to try to hit the tolerance limit before giving up - default is 10. More...

const string	NUM_TRIES = "num_tries"
	Number of times to run the k-means algorithm with a different randomly selected starting points - helps avoid local minimum. More...

Detailed Description

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.

The default value is an empty Dictionary. A set of string constants for the parameter options.

Definition at line 58 of file AggregateKMeans.cs.

Member Data Documentation

const string kinetica.AggregateKMeansRequest.Options.MAX_ITERS = "max_iters"

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

Definition at line 67 of file AggregateKMeans.cs.

const string kinetica.AggregateKMeansRequest.Options.NUM_TRIES = "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.

Definition at line 72 of file AggregateKMeans.cs.

const string kinetica.AggregateKMeansRequest.Options.WHITEN = "whiten"

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

Definition at line 63 of file AggregateKMeans.cs.

The documentation for this struct was generated from the following file: