Class: Node
Instance Attribute Summary collapse
-
#best_distance ⇒ Object
Returns the value of attribute best_distance.
-
#closest_centroid ⇒ Object
Returns the value of attribute closest_centroid.
-
#position ⇒ Object
Returns the value of attribute position.
Class Method Summary collapse
Instance Method Summary collapse
-
#initialize(position, similarity_measure) ⇒ Node
constructor
A new instance of Node.
- #reset! ⇒ Object
- #update_closest_centroid(centroids) ⇒ Object
Constructor Details
#initialize(position, similarity_measure) ⇒ Node
Returns a new instance of Node.
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# File 'lib/k_means/node.rb', line 15 def initialize(position, similarity_measure) @position = position @similarity_measure = similarity_measure end |
Instance Attribute Details
#best_distance ⇒ Object
Returns the value of attribute best_distance.
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# File 'lib/k_means/node.rb', line 13 def best_distance @best_distance end |
#closest_centroid ⇒ Object
Returns the value of attribute closest_centroid.
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# File 'lib/k_means/node.rb', line 13 def closest_centroid @closest_centroid end |
#position ⇒ Object
Returns the value of attribute position.
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# File 'lib/k_means/node.rb', line 13 def position @position end |
Class Method Details
.create_nodes(data, similarity_measure) ⇒ Object
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# File 'lib/k_means/node.rb', line 4 def create_nodes(data, similarity_measure) nodes = [] data.each do |position| nodes << new(position, similarity_measure) end nodes end |
Instance Method Details
#reset! ⇒ Object
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# File 'lib/k_means/node.rb', line 42 def reset! @closest_centroid = nil @best_distance = nil end |
#update_closest_centroid(centroids) ⇒ Object
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# File 'lib/k_means/node.rb', line 20 def update_closest_centroid(centroids) # If we haven't processed this node we need to give it an initial centroid # so that we have something to compare distances against calculate_initial_centroid(centroids.first) unless @closest_centroid updated = false centroids.each do |centroid| # Check if they are in the same position if centroid.position == @position updated = update_attributes(centroid, 0.0) break end distance = calculate_distance(centroid) if distance < best_distance updated = update_attributes(centroid, distance) end end updated == true ? 1 : 0 end |