我正在嘗試使用權(quán)重選項(xiàng)計(jì)算集群的中心位置。但是權(quán)重似乎不起作用。這是代表問(wèn)題的簡(jiǎn)單腳本X = []weights = []for x in range(-10,10):    for y in range(-10,10):        X+= [[x,y]]        if x>0 and y>0:            weights += [10000]        else:            weights += [1]X = np.array(X)weights = np.array(weights)kmeans = KMeans(n_clusters=1, random_state=0).fit(X,weights)print kmeans.cluster_centers_它在第一季度[[-0.5 -0.5]]以權(quán)重10000打印。我希望它是大約 (5,5)EDIT1：試圖將 fit() 稱為：fit(X,sample_weight=weights)返回：TypeError: fit() got an unexpected keyword argument 'sample_weight'添加第二個(gè)變量也無(wú)濟(jì)于事：fit(X,None,weights)返回：TypeError: fit() takes at most 3 arguments (4 given)