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SimpleMKKM: Simple Multiple Kernel K-means
[article]
2020
arXiv
pre-print
We propose a simple yet effective multiple kernel clustering algorithm, termed simple multiple kernel k-means (SimpleMKKM). It extends the widely used supervised kernel alignment criterion to multi-kernel clustering. Our criterion is given by an intractable minimization-maximization problem in the kernel coefficient and clustering partition matrix. To optimize it, we re-formulate the problem as a smooth minimization one, which can be solved efficiently using a reduced gradient descent
arXiv:2005.04975v2
fatcat:eze436xyyrecdmmfswf63zemgq