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MetricKnn API
Fast Similarity Search using the Metric Space Approach
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This is the complete list of members for mknn::PredefDistance, including all inherited members.
| Chi2() | mknn::PredefDistance | static |
| CosineDistance(bool normalize_vectors) | mknn::PredefDistance | static |
| CosineSimilarity(bool normalize_vectors) | mknn::PredefDistance | static |
| DPF(double order, long long num_dims_discard, double pct_discard, double threshold_discard) | mknn::PredefDistance | static |
| EMD(long long matrix_rows, long long matrix_cols, double *cost_matrix, bool normalize_vectors) | mknn::PredefDistance | static |
| Hamming() | mknn::PredefDistance | static |
| Hellinger() | mknn::PredefDistance | static |
| helpListDistances() | mknn::PredefDistance | static |
| helpPrintDistance(std::string id_dist) | mknn::PredefDistance | static |
| L1() | mknn::PredefDistance | static |
| L2() | mknn::PredefDistance | static |
| Lmax() | mknn::PredefDistance | static |
| Lp(double order) | mknn::PredefDistance | static |
| MultiDistance(const std::vector< Distance > &subdistances, bool free_subdistances_on_release, const std::vector< double > &normalization_values, const std::vector< double > &ponderation_values, bool with_auto_config, Dataset &auto_config_dataset, double auto_normalize_alpha, bool auto_ponderation_maxrho, bool auto_ponderation_maxtau) | mknn::PredefDistance | static |
| testDistanceId(std::string id_dist) | mknn::PredefDistance | static |
1.8.9.1