def cluster_sample5():
    "Start with wrong number of clusters."
    start_centers = [[0.0, 1.0], [0.0, 0.0]]
    template_clustering(start_centers, SIMPLE_SAMPLES.SAMPLE_SIMPLE5, criterion = splitting_type.BAYESIAN_INFORMATION_CRITERION)
    template_clustering(start_centers, SIMPLE_SAMPLES.SAMPLE_SIMPLE5, criterion = splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH)
def cluster_sample5():
    "Start with wrong number of clusters."
    start_centers = [[0.0, 1.0], [0.0, 0.0]]
    template_clustering(start_centers, SIMPLE_SAMPLES.SAMPLE_SIMPLE5, criterion = splitting_type.BAYESIAN_INFORMATION_CRITERION)
    template_clustering(start_centers, SIMPLE_SAMPLES.SAMPLE_SIMPLE5, criterion = splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH)
def cluster_sample5 ( ) : start_centers = [ [ 0.0 , 1.0 ] , [ 0.0 , 0.0 ] ] template_clustering ( start_centers , SIMPLE_SAMPLES . SAMPLE_SIMPLE5 , criterion = splitting_type . BAYESIAN_INFORMATION_CRITERION ) template_clustering ( start_centers , SIMPLE_SAMPLES . SAMPLE_SIMPLE5 , criterion = splitting_type . MINIMUM_NOISELESS_DESCRIPTION_LENGTH )
Start with wrong number of clusters.
Start with wrong number of clusters .