Class ClusteringMetrics

Evaluation metrics for clustering models.

Inheritance

object

ClusteringMetrics

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Bigquery.v2.Data

Assembly: Google.Apis.Bigquery.v2.dll

Syntax

public class ClusteringMetrics : IDirectResponseSchema

Properties

Clusters

Information for all clusters.

Declaration

[JsonProperty("clusters")]
public virtual IList<Cluster> Clusters { get; set; }

Property Value

Type	Description
IList<Cluster>

DaviesBouldinIndex

Davies-Bouldin index.

Declaration

[JsonProperty("daviesBouldinIndex")]
public virtual double? DaviesBouldinIndex { get; set; }

Property Value

Type	Description
double?

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

MeanSquaredDistance

Mean of squared distances between each sample to its cluster centroid.

Declaration

[JsonProperty("meanSquaredDistance")]
public virtual double? MeanSquaredDistance { get; set; }

Property Value

Type	Description
double?

Implements

IDirectResponseSchema