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4. Scalable semi-supervised clustering by spectral kernel learning.

Author

Soleymani Baghshah, M., Afsari, F., Bagheri Shouraki, S., and Eslami, E.

Subjects
*KERNEL (Mathematics), *MACHINE learning, *CLUSTER analysis (Statistics), *PROBLEM solving, *PARAMETERS (Statistics), *PERFORMANCE evaluation
Abstract

Highlights: [•] We learn a smaller matrix than the full kernel matrix that it retains the performance. [•] The number of free parameters in our method is flexible and we can set it manually. [•] Our method considerably alleviates the time cost of the kernel learning problem. [•] The kernel learning phase is properly adapted to the clustering phase in our method. [Copyright &y& Elsevier]

Published
2014
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