arXiv:005.04975v[cs.LG]1May00SimpleMKKM:SimpleMultipleKernelK-meansXinwangLiu1EnZhu1JiyuanLiu1TimothyHospedalesYangWang3MengWang3AbstractWeproposeasimpleyeteffectivemultipleker-nelclusteringalgorithmtermedsimplemulti-plekernelk-meansSimpleMKKM.Itextendst
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 kerne...
Paper tables with annotated results for SimpleMKKM: Simple Multiple Kernel K-means
To address these issues, we propose a parameter‐free effective sparse simple multiple kernel k‐means algorithm with max–min optimization formulation in this paper. To be specific, we propose to optimize the widely used unsupervised kernel alignment criterion by minimizing the kernel coefficient and...