/*
- * clueless-kmean is a variant of k-mean which enforces balanced
+ * clueless-kmeans is a variant of k-means which enforces balanced
* distribution of classes in every cluster
*
* Copyright (c) 2013 Idiap Research Institute, http://www.idiap.ch/
* Written by Francois Fleuret <francois.fleuret@idiap.ch>
*
- * This file is part of clueless-kmean.
+ * This file is part of clueless-kmeans.
*
- * clueless-kmean is free software: you can redistribute it and/or
+ * clueless-kmeans is free software: you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* version 3 as published by the Free Software Foundation.
*
- * clueless-kmean is distributed in the hope that it will be useful,
+ * clueless-kmeans is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* General Public License for more details.
public:
enum {
+ // Standard k-mean
STANDARD_ASSOCIATION,
+ // Same, implemented as a LP problem for sanity check
STANDARD_LP_ASSOCIATION,
- UNINFORMATIVE_LP_ASSOCIATION
+ // Criterion forcing to have the same distribution of classes in
+ // all clusters
+ UNINFORMATIVE_LP_ASSOCIATION,
+ // Criterion forcing to have the same number of samples of each
+ // class in all clusters
+ UNINFORMATIVE_LP_ASSOCIATION_ABSOLUTE
};
const static int max_nb_iterations = 10;
void initialize_clusters(int nb_points, scalar_t **points);
- // Standard hard k-mean association
+ // Standard hard k-means association
scalar_t baseline_cluster_association(int nb_points, scalar_t **points,
int nb_classes, int *labels,
scalar_t **gamma);
- // Standard k-mean association implemented as an LP optimization
+ // Standard k-means association implemented as an LP optimization
scalar_t baseline_lp_cluster_association(int nb_points, scalar_t **points,
int nb_classes, int *labels,
scalar_t uninformative_lp_cluster_association(int nb_points, scalar_t **points,
int nb_classes, int *labels,
- scalar_t **gamma);
+ scalar_t **gamma,
+ int absolute_proportion);
void update_clusters(int nb_points, scalar_t **points, scalar_t **gamma);