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96 lines
2.1 KiB
C++
96 lines
2.1 KiB
C++
/* a header file for kohonen and embedding */
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#ifndef _KOHONEN_H_
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#define _KOHONEN_H_
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#include "rogueviz.h"
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namespace rogueviz {
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namespace kohonen {
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typedef vector<double> kohvec;
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static const flagtype KS_ROGUEVIZ = 1;
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static const flagtype KS_NEURONS = 2;
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static const flagtype KS_DISPERSION = 4;
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static const flagtype KS_SAMPLES = 8;
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static const flagtype KS_NEURONS_INI = 16;
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extern flagtype state;
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extern int tmax;
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extern int samples;
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extern int t, tmax, lpct, cells;
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extern int gaussian;
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extern int krad, kqty, kohrestrict;
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extern int qpct;
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extern int columns;
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extern double dispersion_end_at;
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extern int dispersion_count;
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extern double learning_factor, distmul;
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extern double ttpower;
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extern int min_group, max_group, columns;
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struct neuron {
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kohvec net;
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cell *where;
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double udist;
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int lpbak;
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color_t col;
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int allsamples, drawn_samples, csample, bestsample, max_group_here;
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int debug;
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neuron() { drawn_samples = allsamples = bestsample = 0; max_group_here = max_group; debug = 0; }
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};
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struct sample {
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kohvec val;
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string name;
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};
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inline void alloc(kohvec& k) { k.resize(columns); }
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extern kohvec weights;
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extern vector<sample> data;
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extern vector<int> samples_to_show;
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extern vector<neuron> net;
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extern vector<string> colnames;
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void initialize_neurons();
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void initialize_neurons_initial();
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void initialize_dispersion();
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void initialize_samples_to_show();
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void clear();
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void create_neurons();
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void analyze();
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void step();
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void initialize_rv();
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void set_neuron_initial();
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bool finished();
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vector<cell*> gen_neuron_cells();
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neuron& winner(int id);
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}
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namespace embeddings {
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using kohonen::columns;
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using kohonen::kohvec;
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using kohonen::alloc;
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enum embedding_type { eProjection, eNatural, eLandscape, eSignpost, eHypersian };
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extern embedding_type etype;
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void mark_signposts(bool full, const vector<cell*>& ac);
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void generate_rug(int i, bool close);
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void init_landscape(int dimensions);
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extern map<cell*, hyperpoint> rug_coordinates;
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extern void get_coordinates(kohvec& v, cell *c, cell *c0);
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}
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}
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#endif
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