ml-kmeans

kmeans

• kmeans(data: number[][], K: number, options: Options): KMeansResult

• K-means algorithm

  Parameters

  • data: number[][]

    Points in the format to cluster [x,y,z,...]

  • K: number

    Number of clusters

  • options: Options

  Returns KMeansResult

  • Cluster identifier for each data dot and centroids with the following fields:

  • 'clusters': Array of indexes for the clusters.
  • 'centroids': Array with the resulting centroids.
  • 'iterations': Number of iterations that took to converge