mknn_predefined_distance.h

Go to the documentation of this file.

/*
 * Copyright (C) 2012-2015, Juan Manuel Barrios <juanmanuel@barrios.cl>
 * All rights reserved.
 *
 * This file is part of MetricKnn.
 * MetricKnn is made available under the terms of the BSD 2-Clause License.
 */

#ifndef MKNN_PREDEFINED_DISTANCE_H_
#define MKNN_PREDEFINED_DISTANCE_H_

#ifdef __cplusplus
extern "C" {
#endif

#include "../metricknn_c.h"

void mknn_predefDistance_helpListDistances();

void mknn_predefDistance_helpPrintDistance(const char *id_dist);

bool mknn_predefDistance_testDistanceId(const char *id_dist);

MknnDistanceParams *mknn_predefDistance_L1();

MknnDistanceParams *mknn_predefDistance_L2();

MknnDistanceParams *mknn_predefDistance_L2squared();
MknnDistanceParams *mknn_predefDistance_Lmax();

MknnDistanceParams *mknn_predefDistance_Lp(double order);

MknnDistanceParams *mknn_predefDistance_Hamming();

MknnDistanceParams *mknn_predefDistance_Chi2();

MknnDistanceParams *mknn_predefDistance_Hellinger();

MknnDistanceParams *mknn_predefDistance_CosineSimilarity(bool normalize_vectors);

MknnDistanceParams *mknn_predefDistance_CosineDistance(bool normalize_vectors);

MknnDistanceParams *mknn_predefDistance_EMD(int64_t matrix_rows,
        int64_t matrix_cols, double *cost_matrix, bool normalize_vectors);

MknnDistanceParams *mknn_predefDistance_DPF(double order,
        int64_t num_dims_discard, double pct_discard, double threshold_discard);

MknnDistanceParams *mknn_predefDistance_MultiDistance(int64_t num_subdistances,
        MknnDistance **subdistances,
        bool free_subdistances_on_release, double *normalization_values,
        double *ponderation_values,
        bool with_auto_config, MknnDataset *auto_config_dataset,
        double auto_normalize_alpha, bool auto_ponderation_maxrho,
        bool auto_ponderation_maxtau);

#ifdef __cplusplus
}
#endif

#endif