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A hierarchical hybrid gaussian mixture model

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HH-GMM

A hierarchical hybrid gaussian mixture model proposed by Jiangchao Yao


implementation of a hierarchical hybrid Gaussian mixture model for mining user interests.

How to use can be found from the statement of main() function in the source code. One important point is to initialize the mean of the Gaussian distribution with k-means.

reference paper: Discovering user interests from social images


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