Clusters class

This class describes a clustering.

Constructors

Clusters(List<List<double>> points, List<int> ignoredDims, List<int> clusters, List<List<double>> means)

Properties

clusterPoints → List<List<List<double>>>

For each cluster, the list of points belonging to that cluster.

late, final

clusters → List<int>

For each point points[i], clusters[i] gives the index of the cluster that points[i] is a member of. The mean of the cluster is given by means[clusters[i]].

final

exactSilhouette → double

Computes the average 'silhouette' over all points.

late, final

hashCode → int

The hash code for this object.

no setter, inherited

ignoredDims → List<int>

Dimensions of points that are ignored.

final

inertia → double

Sum of squared distances of samples to their closest cluster center.

late, final

k → int

Convenience getter for the number of clusters.

no setter

means → List<List<double>>

The means of the clusters.

final

points → List<List<double>>

The list of all points in the clusters.

final

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

silhouette → double

Computes an approximation of the average 'silhouette' over all points.

late, final

Methods

kNearestNeighbors(List<double> point, int k) → int

Predict the cluster that point belongs to by way of a vote among its k nearest neighbors.

nearestMean(List<double> point) → int

Returns the index of the mean that is closest to point.

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

override

Operators

operator ==(Object other) → bool

The equality operator.

inherited