Multiple kernel clustering with late fusion consensus local graph preserving
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DOI: 10.1002/int.22596
Abstract: Multiple kernel clustering (MKC) methods aim at integrating an optimal partition from a set of precalculated kernel matrices. Though achieving success in various applications, we observe that existing MKC methods: (i) lack of representation flexibility;… read more here.
Keywords: local graph; kernel clustering; multiple kernel; graph ... See more keywords