Class: AprendizajeMaquina::KmeansClustering
- Inherits:
-
Object
- Object
- AprendizajeMaquina::KmeansClustering
- Defined in:
- lib/aprendizaje_maquina/clustering.rb
Instance Method Summary collapse
- #cluster(num) ⇒ Object
- #fit(iterations) ⇒ Object
-
#initialize(num_of_cluster_centroids, dataset_matrix) ⇒ KmeansClustering
constructor
A new instance of KmeansClustering.
- #predict(vector) ⇒ Object
Constructor Details
#initialize(num_of_cluster_centroids, dataset_matrix) ⇒ KmeansClustering
Returns a new instance of KmeansClustering.
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# File 'lib/aprendizaje_maquina/clustering.rb', line 3 def initialize(num_of_cluster_centroids,dataset_matrix) @num_of_cluster_centroids = num_of_cluster_centroids @dataset_matrix = dataset_matrix @num_columns = @dataset_matrix.column_count @num_rows = @dataset_matrix.row_count @cluster_centroids = init_cluster_centroids end |
Instance Method Details
#cluster(num) ⇒ Object
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# File 'lib/aprendizaje_maquina/clustering.rb', line 15 def cluster(num) get("@cluster_#{num}") end |
#fit(iterations) ⇒ Object
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# File 'lib/aprendizaje_maquina/clustering.rb', line 11 def fit(iterations) clustering(iterations) end |
#predict(vector) ⇒ Object
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# File 'lib/aprendizaje_maquina/clustering.rb', line 19 def predict(vector) array = [] @cluster_centroids.each do |cluster| array << (vector-cluster).r end cluster = array.index(array.min) cluster end |