slim1017 / VaDE

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
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mnist_weights_gmm.mat vs. mnist_gene.mat #18

Open leeyishan1995 opened 4 years ago

leeyishan1995 commented 4 years ago

From what I know, the gmm network parameters (theta, lambda & u) are the results of the tensors (u_p, lambda_p & theta_p) after training. However, I noticed that the gmm network parameters in mnist_weights_gmm.mat and those in mnist_gene.mat have different values. Do anyone know where is the source for these two trained gmm parameter come from? Thank you