Add auto-encoder notebook #2
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This notebook implements auto-encoder-based clustering described in the paper: http://www.cripac.ia.ac.cn/lwang/M-MCG/research/CFS-CIAPR13/paper.pdf
The backpropagation process is modified where the objective function seeks to minimize both the reconstruction error and the distances between the data points and the respective centroids of the assigned clusters in the hidden layer. The cluster assignment also takes place at each iteration of the backpropagation process.
The notebook is not used in the current analysis. It is added in case that it may be useful for future analysis.
The caveat is that the notebook is not documented.