Module: Khiva::Clustering
- Defined in:
- lib/khiva/clustering.rb
Class Method Summary collapse
- .k_means(tss, k, tolerance: 1e-10, max_iterations: 100) ⇒ Object
- .k_shape(tss, k, tolerance: 1e-10, max_iterations: 100) ⇒ Object
Class Method Details
.k_means(tss, k, tolerance: 1e-10, max_iterations: 100) ⇒ Object
4 5 6 7 8 9 |
# 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) ⇒ Object
11 12 13 14 15 16 |
# 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 |