A unique property of single-link distance and its application in data clustering-Reference-Cited by-同舟云学术

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A unique property of single-link distance and its application in data clustering

Published:2011-11 Issue:11 Volume:70 Page:984-1003
ISSN:0169-023X
Container-title:Data & Knowledge Engineering
language:en
Short-container-title:Data & Knowledge Engineering

Author:

Song Yuqing,Jin Shuyuan,Shen Jie

Publisher

Elsevier BV

Subject

Information Systems and Management

Reference32 articles.

1. A log-linear approach to mining significant graph-relational patterns;Besemann;Data Knowl. Eng.,2011

2. Estimating PageRank on graph streams;Das Sarma;J. ACM,2011

3. A novel keyword search paradigm in relational databases: object summaries;Fakas;Data Knowl. Eng.,2011

4. Document clustering using synthetic cluster prototypes;Kalogeratos;Data Knowl. Eng.,2011

5. Algorithms for clustering data;Jain,1988

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2. CHSMST plus : An Algorithm for Spatial Clustering;2016

3. Clustering by growing incremental self-organizing neural network;Expert Systems with Applications;2015-07

4. Landmark FN-DBSCAN: An Efficient Density-Based Clustering Algorithm with Fuzzy Neighborhood;Journal of Advanced Computational Intelligence and Intelligent Informatics;2013-01-20

5. SBV-Cut: Vertex-cut based graph partitioning using structural balance vertices;Data & Knowledge Engineering;2012-02

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