def get_clusters_representation(chromosome, count_clusters=None):
        """ Convert chromosome to cluster representation:
                chromosome : [0, 1, 1, 0, 2, 3, 3]
                clusters: [[0, 3], [1, 2], [4], [5, 6]]
        """

        if count_clusters is None:
            count_clusters = ga_math.calc_count_centers(chromosome)

        # Initialize empty clusters
        clusters = [[] for _ in range(count_clusters)]

        # Fill clusters with index of data
        for _idx_data in range(len(chromosome)):
            clusters[chromosome[_idx_data]].append(_idx_data)

        return clusters
def get_clusters_representation(chromosome, count_clusters=None):
        """ Convert chromosome to cluster representation:
                chromosome : [0, 1, 1, 0, 2, 3, 3]
                clusters: [[0, 3], [1, 2], [4], [5, 6]]
        """

        if count_clusters is None:
            count_clusters = ga_math.calc_count_centers(chromosome)

        # Initialize empty clusters
        clusters = [[] for _ in range(count_clusters)]

        # Fill clusters with index of data
        for _idx_data in range(len(chromosome)):
            clusters[chromosome[_idx_data]].append(_idx_data)

        return clusters
def get_clusters_representation ( chromosome , count_clusters = None ) : if count_clusters is None : count_clusters = ga_math . calc_count_centers ( chromosome ) # Initialize empty clusters clusters = [ [ ] for _ in range ( count_clusters ) ] # Fill clusters with index of data for _idx_data in range ( len ( chromosome ) ) : clusters [ chromosome [ _idx_data ] ] . append ( _idx_data ) return clusters
Convert chromosome to cluster representation:
                chromosome : [0, 1, 1, 0, 2, 3, 3]
                clusters: [[0, 3], [1, 2], [4], [5, 6]]
Convert chromosome to cluster representation : chromosome : [ 0 1 1 0 2 3 3 ] clusters : [[ 0 3 ] [ 1 2 ] [ 4 ] [ 5 6 ]]