From 30a7eaeed7e34e69b62d2920e074a113a6e850fc Mon Sep 17 00:00:00 2001 From: Francois Fleuret Date: Thu, 28 Mar 2013 08:48:09 +0100 Subject: [PATCH] Cosmetics. --- clusterer.cc | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/clusterer.cc b/clusterer.cc index 02a8c8b..5418341 100644 --- a/clusterer.cc +++ b/clusterer.cc @@ -221,9 +221,9 @@ scalar_t Clusterer::uninformative_lp_cluster_association(int nb_points, scalar_t for(int n = 1; n <= nb_points; n++) { int col = n + nb_points * (k - 1); - // The LP weight on this association coefficient for the global - // loss is the normalized distance of that sample to the - // centroid of that cluster + // The LP weight on the gammas for the global loss is the + // normalized distance of that sample to the centroid of that + // cluster glp_set_obj_coef(lp, col, distance_to_centroid(points[n-1], k-1)); @@ -234,8 +234,8 @@ scalar_t Clusterer::uninformative_lp_cluster_association(int nb_points, scalar_t } } - // The (B) constraints: for each point, the sum of its association - // coefficients is equal to 1.0 + // The (B) constraints: for each point, the sum of its gamma is + // equal to 1.0 for(int n = 1; n <= nb_points; n++) { int row = n; @@ -249,9 +249,8 @@ scalar_t Clusterer::uninformative_lp_cluster_association(int nb_points, scalar_t } // The (C) constraints: For each pair cluster/class, the sum of the - // association coefficient to this cluster for this class is equal - // to the number of sample of that class, divided by the number of - // clusters + // gammas for this cluster and this class is equal to the number of + // sample of that class, divided by the number of clusters for(int k = 1; k <= _nb_clusters; k++) { for(int c = 1; c <= nb_classes; c++) { -- 2.20.1