@classmethod
    def A_k(cls, clustering, D, matrix):
        n = clustering.total_number_of_elements
        k = len(clustering.clusters)
        return (1./( n - k))*numpy.array([cls.ch_cluster_term(cluster, D, matrix) for cluster in clustering.clusters]).sum();
Internal method that monitors the directory for changes
dataset/ETHPy150Open victor-gil-sepulveda/pyProCT/pyproct/clustering/evaluation/metrics/calinskiHarabasz.py/CalinskiHarabaszCalculator.A_k--crossover with--dataset/ETHPy150Open SuperCowPowers/workbench/workbench/server/dir_watcher.py/DirWatcher._start_monitoring