module Khiva::Clustering
Public Class Methods
k_means(tss, k, tolerance: 1e-10, max_iterations: 100)
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# File lib/khiva/clustering.rb, line 4 def k_means(tss, k, tolerance: 1e-10, max_iterations: 100) centroids = Utils.create_ptr labels = Utils.create_ptr FFI.call(:k_means, tss, Utils.int_ptr(k), centroids, labels, Utils.float_ptr(tolerance), Utils.int_ptr(max_iterations)) [Array.new(centroids), Array.new(labels)] end
k_shape(tss, k, tolerance: 1e-10, max_iterations: 100)
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# File lib/khiva/clustering.rb, line 11 def k_shape(tss, k, tolerance: 1e-10, max_iterations: 100) centroids = Utils.create_ptr labels = Utils.create_ptr FFI.call(:k_shape, tss, Utils.int_ptr(k), centroids, labels, Utils.float_ptr(tolerance), Utils.int_ptr(max_iterations)) [Array.new(centroids), Array.new(labels)] end