WoRkS `continued`

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Probability Density Estimation-Non-Parametric Methods(概率密度估计-非参数方法)

KDE: Fix volume, determine number of points in this volume
K-NN: Fix the number of points and increase the volume to include this number of points

python apply.py

EM algo is sensible to init, we can use k-means fist for some steps kmeans = KMeans(n_clusters = K, n_init = 10).fit(data)

python apply.py

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