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We consider the problem of feature selection for unsupervised learning and develop a new algorithm capable of identifying informative features supporting complex structures embedded in a high-dimensional space. The development of the algorithm is inspired by human learning in detecting complex data structures. We formulate it as an optimization problem with a well-defined objective function, and solve...
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