elbow

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Let's say I'm examining up to 10 clusters, with scipy I usually generate the 'elbow' plot as follows: from scipy import cluster cluster_array = [cluster.vq.kmeans(my_matrix, i) for i in range(1,10)] pyplot.plot([var for (cent,var) in cluster_array]) pyplot.show() I have since became motivated to use sklearn for clustering, however I'm not sure how to create the array needed to plot as in the scipy case. My best guess was: from sklearn.cluster import KMeans km = [KMeans(n_clusters=i) for i range(1,10)] cluster_array = [km[i].fit(my_matrix)]

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I am trying to simulate a bendable arm using SpriteKit. I have an upper arm SKShapeNode and a lower arm SKShapeNode . How would I rotate the lower arm so it rotates at the elbow instead of rotating on itself? Here is my straight arm with the upper arm being tan colored and the lower arm being cyan colored. This is what it looks like after a -90 degree rotation on the lower arm How would I simulate the lower arm being connected to the upper arm at the elbow? I've tried multiple SKConstraint s but couldn't find one that worked for me