Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification
type: Item
instance of: scholarly article
title: Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification
zbMATH Open document ID: 1471.62010
author: Shadi Abpeykar
author: Mehdi Ghatee
author: Hadi Zare
published in: Computational Statistics and Data Analysis
publication date: 2018-11-02T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62R07
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6970978
zbMATH Keywords: big-data with high-dimensional features
zbMATH Keywords: feature clustering
zbMATH Keywords: neural tree
zbMATH Keywords: knowledge transferring
zbMATH Keywords: gating network
zbMATH Keywords: ensemble learning
describes a project that uses: WEKA
describes a project that uses: ReliefF
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
full work available at URL: j.csda.2018.08.015
OpenAlex ID: W2889922265
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DOI: 10.1016/J.CSDA.2018.08.015
description: scientific article; zbMATH DE number 6970978