Kernel penalized K-means: a feature selection method based on kernel K-means
type: Item
instance of: scholarly article
title: Kernel penalized K-means: a feature selection method based on kernel K-means
zbMATH Open document ID: 1390.68545
author: Sebastián Maldonado
author: Emilio Carrizosa
author: Richard Weber
published in: Information Sciences
publication date: 2018-05-17T00:00:00Z
full work available at URL: https://idus.us.es/handle//11441/107712
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6869807
zbMATH Keywords: feature selection
zbMATH Keywords: kernel K-means
zbMATH Keywords: clustering
describes a project that uses: UCI-ml
MaRDI profile type: Publication
OpenAlex ID: W579153682
cites work: Q3907599
cites work: Greedy Feature Selection for Subspace Clustering
cites work: Unsupervised clustering and feature weighting based on generalized Dirichlet mixture modeling
cites work: Q4818005
cites work: Nonlinear Dimensionality Reduction
cites work: Pattern classification in DNA microarray data of multiple tumor types
cites work: Q5617409
cites work: 10.1162/153244303322753706
cites work: Q3093184
DOI: 10.1016/J.INS.2015.06.008
description: scientific article; zbMATH DE number 6869807