Using Self-Similarity to Cluster Large Data Sets

Daniel Barbará; Ping Chen

doi:10.1023/A:1022493416690

Using Self-Similarity to Cluster Large Data Sets

Daniel Barbará
, Ping Chen

Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	123-152
Number of pages	30
Journal	Data Mining and Knowledge Discovery
Volume	7
Issue number	2
DOIs	https://doi.org/10.1023/A:1022493416690
State	Published - Apr 2003

ASJC Scopus Subject Areas

Information Systems
Computer Science Applications
Computer Networks and Communications

Keywords

Clustering
Scalability
Self-similarity

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10.1023/A:1022493416690

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title = "Using Self-Similarity to Cluster Large Data Sets",

keywords = "Clustering, Scalability, Self-similarity",

author = "Daniel Barbar{\'a} and Ping Chen",

year = "2003",

month = apr,

doi = "10.1023/A:1022493416690",

language = "English",

volume = "7",

pages = "123--152",

journal = "Data Mining and Knowledge Discovery",

issn = "1384-5810",

publisher = "Springer Netherlands",

number = "2",

}

TY - JOUR

T1 - Using Self-Similarity to Cluster Large Data Sets

AU - Barbará, Daniel

AU - Chen, Ping

PY - 2003/4

Y1 - 2003/4

KW - Clustering

KW - Scalability

KW - Self-similarity

UR - https://www.scopus.com/pages/publications/0037284901

UR - https://www.scopus.com/pages/publications/0037284901#tab=citedBy

U2 - 10.1023/A:1022493416690

DO - 10.1023/A:1022493416690

M3 - Article

AN - SCOPUS:0037284901

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SP - 123

EP - 152

JO - Data Mining and Knowledge Discovery

JF - Data Mining and Knowledge Discovery

IS - 2

ER -

Using Self-Similarity to Cluster Large Data Sets

ASJC Scopus Subject Areas

Keywords

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