def cluster_hepta():
    "Start with wrong number of clusters."
    start_centers = [[0.0, 0.0, 0.0], [3.0, 0.0, 0.0], [-2.0, 0.0, 0.0], [0.0, 3.0, 0.0], [0.0, -3.0, 0.0], [0.0, 0.0, 2.5]]
    template_clustering(start_centers, FCPS_SAMPLES.SAMPLE_HEPTA, criterion = splitting_type.BAYESIAN_INFORMATION_CRITERION)
    template_clustering(start_centers, FCPS_SAMPLES.SAMPLE_HEPTA, criterion = splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH)
def cluster_hepta():
    "Start with wrong number of clusters."
    start_centers = [[0.0, 0.0, 0.0], [3.0, 0.0, 0.0], [-2.0, 0.0, 0.0], [0.0, 3.0, 0.0], [0.0, -3.0, 0.0], [0.0, 0.0, 2.5]]
    template_clustering(start_centers, FCPS_SAMPLES.SAMPLE_HEPTA, criterion = splitting_type.BAYESIAN_INFORMATION_CRITERION)
    template_clustering(start_centers, FCPS_SAMPLES.SAMPLE_HEPTA, criterion = splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH)
def cluster_hepta ( ) : start_centers = [ [ 0.0 , 0.0 , 0.0 ] , [ 3.0 , 0.0 , 0.0 ] , [ - 2.0 , 0.0 , 0.0 ] , [ 0.0 , 3.0 , 0.0 ] , [ 0.0 , - 3.0 , 0.0 ] , [ 0.0 , 0.0 , 2.5 ] ] template_clustering ( start_centers , FCPS_SAMPLES . SAMPLE_HEPTA , criterion = splitting_type . BAYESIAN_INFORMATION_CRITERION ) template_clustering ( start_centers , FCPS_SAMPLES . SAMPLE_HEPTA , criterion = splitting_type . MINIMUM_NOISELESS_DESCRIPTION_LENGTH )
Start with wrong number of clusters.
Start with wrong number of clusters .