A Note on K-modes Clustering

Zhexue Huang; Michael K. Ng

doi:10.1007/s00357-003-0014-4

A Note on K-modes Clustering

Zhexue Huang^*, Michael K. Ng

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to journal › Journal article › peer-review

59 Citations (Scopus)

Abstract

Recently, Chaturvedi, Green and Carroll (2001) presented a nonparametric approach to deriving clusters from categorical data using a new clustering procedure called K-modes. Huang (1998) proposed the K-modes clustering algorithm. In this note, we demonstrate the equivalence of the two K-modes procedures.

Original language	English
Pages (from-to)	257-261
Number of pages	5
Journal	Journal of Classification
Volume	20
Issue number	2
DOIs	https://doi.org/10.1007/s00357-003-0014-4
Publication status	Published - Sept 2003

Scopus Subject Areas

Mathematics (miscellaneous)
Psychology (miscellaneous)
Statistics, Probability and Uncertainty
Library and Information Sciences

User-Defined Keywords

Categorical data
Clustering
Fuzzy partitioning
K-means algorithm

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s00357-003-0014-4

Cite this

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title = "A Note on K-modes Clustering",

abstract = "Recently, Chaturvedi, Green and Carroll (2001) presented a nonparametric approach to deriving clusters from categorical data using a new clustering procedure called K-modes. Huang (1998) proposed the K-modes clustering algorithm. In this note, we demonstrate the equivalence of the two K-modes procedures.",

keywords = "Categorical data, Clustering, Fuzzy partitioning, K-means algorithm",

author = "Zhexue Huang and Ng, {Michael K.}",

note = "Research supported in part by Hong Kong Research Grants Council Grant Nos. HKU 7130/02P, HKU 7046/03P and HKU CRCG Grant Nos. 10203501, 10203907 and 10204437 ",

year = "2003",

month = sep,

doi = "10.1007/s00357-003-0014-4",

language = "English",

volume = "20",

pages = "257--261",

journal = "Journal of Classification",

issn = "0176-4268",

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T1 - A Note on K-modes Clustering

AU - Huang, Zhexue

AU - Ng, Michael K.

N1 - Research supported in part by Hong Kong Research Grants Council Grant Nos. HKU 7130/02P, HKU 7046/03P and HKU CRCG Grant Nos. 10203501, 10203907 and 10204437

PY - 2003/9

Y1 - 2003/9

N2 - Recently, Chaturvedi, Green and Carroll (2001) presented a nonparametric approach to deriving clusters from categorical data using a new clustering procedure called K-modes. Huang (1998) proposed the K-modes clustering algorithm. In this note, we demonstrate the equivalence of the two K-modes procedures.

AB - Recently, Chaturvedi, Green and Carroll (2001) presented a nonparametric approach to deriving clusters from categorical data using a new clustering procedure called K-modes. Huang (1998) proposed the K-modes clustering algorithm. In this note, we demonstrate the equivalence of the two K-modes procedures.

KW - Categorical data

KW - Clustering

KW - Fuzzy partitioning

KW - K-means algorithm

UR - http://www.scopus.com/inward/record.url?scp=0742288813&partnerID=8YFLogxK

UR - https://link.springer.com/article/10.1007/s00357-003-0014-4

U2 - 10.1007/s00357-003-0014-4

DO - 10.1007/s00357-003-0014-4

M3 - Journal article

AN - SCOPUS:0742288813

SN - 0176-4268

VL - 20

SP - 257

EP - 261

JO - Journal of Classification

JF - Journal of Classification

IS - 2

ER -

A Note on K-modes Clustering

Abstract

Scopus Subject Areas

User-Defined Keywords

UN SDGs

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