Extended API with functions for vector similarity based on KD-trees h… #2552
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…ttps://en.wikipedia.org/wiki/K-d_tree ndpi_kd_tree* ndpi_kd_create(u_int num_dimensions); void ndpi_kd_free(ndpi_kd_tree *tree); void ndpi_kd_clear(ndpi_kd_tree *tree); bool ndpi_kd_insert(ndpi_kd_tree *tree, const double *data_vector, void *user_data); ndpi_kd_tree_result *ndpi_kd_nearest(ndpi_kd_tree *tree, const double *data_vector); u_int32_t ndpi_kd_num_results(ndpi_kd_tree_result *res); bool ndpi_kd_result_end(ndpi_kd_tree_result *res); double* ndpi_kd_result_get_item(ndpi_kd_tree_result *res, double **user_data); bool ndpi_kd_result_next(ndpi_kd_tree_result *res); void ndpi_kd_result_free(ndpi_kd_tree_result *res); double ndpi_kd_distance(double *a1, double *b2, u_int num_dimensions);
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Extended API with functions for vector similarity based on KD-trees https://en.wikipedia.org/wiki/K-d_tree
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