轉載關於SKlearn.clustering.spectralClustering 工具的一些理解：

代碼示例：

import time
from sklearn.cluster import SpectralClustering
from sklearn import metrics

if __name__ == "__main__":    
    start = time.clock() 
    #X是訓練集
    
    for index, gamma in enumerate((0.01,0.1,1)):
        for index, k in enumerate((3,4,5,6)):
            y_pred = SpectralClustering(n_clusters=k, gamma=gamma).fit_predict(X)
            print "Calinski-Harabasz Score with gamma=", gamma, "n_clusters=", k,"score:", metrics.calinski_harabaz_score(X, y_pred) 
                          
    end = time.clock()    
    print('finish all in %s' % str(end - start))
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作者：fjssharpsword 
來源：CSDN 
原文：https://blog.csdn.net/fjssharpsword/article/details/79198054 
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