An equi-biased \(k\)-prototypes algorithm for clustering mixed-type data
type: Item
instance of: scholarly article
title: An equi-biased \(k\)-prototypes algorithm for clustering mixed-type data
zbMATH Open document ID: 1397.62230
author: Ravi Sankar Sangam
author: Hari Om
published in: Sādhanā
publication date: 2018-10-10T00:00:00Z
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6949824
zbMATH Keywords: data clustering
zbMATH Keywords: data mining
zbMATH Keywords: \(k\)-prototypes
zbMATH Keywords: similarity coefficient
describes a project that uses: SpectralCAT
describes a project that uses: AutoClass
describes a project that uses: COOLCAT
describes a project that uses: UCI-ml
describes a project that uses: ROCK
MaRDI profile type: Publication
full work available at URL: s12046-018-0823-0
OpenAlex ID: W2790895082
cites work: Incremental Clustering and Dynamic Information Retrieval
cites work: Data mining. Concepts and techniques
cites work: Q5617409
cites work: A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
cites work: Data Clustering: Theory, Algorithms, and Applications
cites work: Scalable algorithms for clustering large datasets with mixed type attributes
cites work: Squeezer: An efficient algorithm for clustering categorical data.
cites work: SpectralCAT: categorical spectral clustering of numerical and nominal data
cites work: Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number
cites work: Q4677808
Wikidata QID: Q130125515
DOI: 10.1007/S12046-018-0823-0
description: scientific article; zbMATH DE number 6949824