21ef076316edd5c9be9766ad7c408b9488074d07,kmodes.py,KPrototypes,_perform_clustering,#KPrototypes#Any#Any#Any#Any#Any#,258

Before Change

                    if sum(self.membership[oldCluster,:]) == 0:
                        while True:
                            rIndx = np.random.randint(nPoints)
                            if not all(Xnum[rIndx] == self.centroids[0]).any() and \
                               not all(Xcat[rIndx] == self.centroids[1]).any():
                                break
                        self._add_point_to_cluster(Xnum[rIndx], Xcat[rIndx], rIndx, oldCluster)

After Change

                    if sum(self.membership[oldCluster,:]) == 0:
                        while True:
                            rIndx = np.random.randint(nPoints)
                            if not np.all(np.vstack(( \
                                np.all(Xnum[rIndx] == self.centroids[0], axis=1), \
                                np.all(Xcat[rIndx] == self.centroids[1], axis=1))), \
                                axis=0).any():
                                break
                        self._add_point_to_cluster(Xnum[rIndx], Xcat[rIndx], rIndx, oldCluster)

Instances