We describe a simple multilayer bootstrap network for unsupervised dimensionality reduction that each layer of the network is a group of mutually independent k-centers clusterings, and the centers of a clustering are randomly sampled data points. We further compress the network size of multilayer bootstrap network by a neural network in a pseudo supervised way for prediction. We report comparison results in data visualization, clustering, and document retrieval.
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