mirror of https://github.com/Relintai/pmlpp.git
72 lines
1.2 KiB
C++
72 lines
1.2 KiB
C++
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#ifndef MLPP_K_MEANS_H
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#define MLPP_K_MEANS_H
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//
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// KMeans.hpp
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//
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// Created by Marc Melikyan on 10/2/20.
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//
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#include "core/math/math_defs.h"
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#include "core/object/reference.h"
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#include "../lin_alg/mlpp_matrix.h"
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#include "../lin_alg/mlpp_vector.h"
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class MLPPKMeans : public Reference {
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GDCLASS(MLPPKMeans, Reference);
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public:
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enum MeanType {
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MEAN_TYPE_CENTROID = 0,
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MEAN_TYPE_KMEANSPP,
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};
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public:
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Ref<MLPPMatrix> get_input_set();
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void set_input_set(const Ref<MLPPMatrix> &val);
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int get_k();
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void set_k(const int val);
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MeanType get_mean_type();
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void set_mean_type(const MeanType val);
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void initialize();
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Ref<MLPPMatrix> model_set_test(const Ref<MLPPMatrix> &X);
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Ref<MLPPVector> model_test(const Ref<MLPPVector> &x);
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void train(int epoch_num, bool UI = false);
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real_t score();
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Ref<MLPPVector> silhouette_scores();
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MLPPKMeans();
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~MLPPKMeans();
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protected:
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void _evaluate();
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void _compute_mu();
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void _centroid_initialization();
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void _kmeanspp_initialization();
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real_t _cost();
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static void _bind_methods();
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Ref<MLPPMatrix> _input_set;
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Ref<MLPPMatrix> _mu;
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Ref<MLPPMatrix> _r;
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real_t _accuracy_threshold;
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int _k;
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bool _initialized;
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MeanType _mean_type;
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};
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VARIANT_ENUM_CAST(MLPPKMeans::MeanType);
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#endif /* KMeans_hpp */
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