k_means_cluster library

Classes

Cluster

A cluster of instances.

DistanceType

A convenience container class that stores commonly used DistanceMeasure functions.

Instance

An instance of data.

Properties

distanceMeasure ↔ DistanceMeasure

getter/setter pair

precision ↔ num

A precision measure; a cluster is considered to have shifted if at least one of its coordinates has changed by more than this amount.

getter/setter pair

Functions

initialClusters(int k, List<Instance> instances, {int? seed}) → List<Cluster>

Creates an list of clusters.

kMeans({int maxIterations = 10, required List<Instance> instances, required List<Cluster> clusters}) → Map<String, dynamic>

Perform the k-means algorithm.

Typedefs

DistanceMeasure = num Function(List<num> a, List<num> b)

A function that returns a distance measure between two points a and b in space.