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hyperrogue/rogueviz/kohonen.h

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