Multiple Kernel Fuzzy Clustering With Unsupervised Random Forests Kernel and Matrix-Induced Regularization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2889185
Abstract: Although kernel fuzzy clustering can handle non-spherical clusters by mapping data to a more separable feature space, its performance is highly determined by the setting of kernels. So, the multiple kernel fuzzy clustering (MKFC) is… read more here.
Keywords: induced regularization; fuzzy clustering; matrix induced; kernel fuzzy ... See more keywords
Adaptive kernel fuzzy clustering for missing data
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DOI: 10.1371/journal.pone.0259266
Abstract: Many machine learning procedures, including clustering analysis are often affected by missing values. This work aims to propose and evaluate a Kernel Fuzzy C-means clustering algorithm considering the kernelization of the metric with local adaptive… read more here.
Keywords: fuzzy clustering; missing values; adaptive kernel; strategy ... See more keywords