KMeansInitializers class

A collection of methods for calculating initial means.

Properties

hashCode int
The hash code for this object.
no setterinherited
runtimeType Type
A representation of the runtime type of the object.
no setterinherited

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toString() String
A string representation of this object.
inherited

Operators

operator ==(Object other) bool
The equality operator.
inherited

Static Methods

fromArray(List<List<double>> means) KMeansInitializer
Returns a cluster initializer function that simply returns means.
kMeansPlusPlus(List<List<double>> points, List<int> ignoredDims, int k, int seed) List<List<double>>
Returns an initial set of k means initialized according to the k-means++ algorithm: https://en.wikipedia.org/wiki/K-means%2B%2B
random(List<List<double>> points, List<int> ignoredDims, int k, int seed) List<List<double>>
Returns an initial set of k cluster centers randomly selected from points.