Web page clustering VIA partition adaptive affinity propagation

Changyin Sun; Yifan Wang; Haina Zhao

doi:10.1007/978-3-642-01510-6_82

Web page clustering VIA partition adaptive affinity propagation

Changyin Sun
, Yifan Wang
, Haina Zhao

Hohai University
Southeast University, Nanjing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Clustering techniques have been applied to categorize documents on Web and extract knowledge from Web. In this paper, we introduce a novel clustering method into Web page clustering, which is an extension of affinity propagation (AP). This method is called partition adaptive affinity propagation (PAAP), which can automatically rerun AP procedure to yield optimal clustering results and eliminate number oscillations if they occur. Experiments are carried out to compare PAAP with K-means and AP on ten different Web page data sets. The results verify that PAAP can find better clusters when compared with similar methods. And the results also demonstrate that PAAP is robust and effective when clustering Web pages.

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
Pages	727-736
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-01510-6_82
State	Published - 2009
Externally published	Yes
Event	6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, China Duration: 26 May 2009 → 29 May 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5552 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Symposium on Neural Networks, ISNN 2009
Country/Territory	China
City	Wuhan
Period	26/05/09 → 29/05/09

Access to Document

10.1007/978-3-642-01510-6_82

Cite this

Sun, C., Wang, Y., & Zhao, H. (2009). Web page clustering VIA partition adaptive affinity propagation. In Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings (PART 2 ed., pp. 727-736). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5552 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-01510-6_82

Sun, Changyin ; Wang, Yifan ; Zhao, Haina. / Web page clustering VIA partition adaptive affinity propagation. Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2. ed. 2009. pp. 727-736 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{d63e3655afab45d6939f0f3a34a25571,

title = "Web page clustering VIA partition adaptive affinity propagation",

abstract = "Clustering techniques have been applied to categorize documents on Web and extract knowledge from Web. In this paper, we introduce a novel clustering method into Web page clustering, which is an extension of affinity propagation (AP). This method is called partition adaptive affinity propagation (PAAP), which can automatically rerun AP procedure to yield optimal clustering results and eliminate number oscillations if they occur. Experiments are carried out to compare PAAP with K-means and AP on ten different Web page data sets. The results verify that PAAP can find better clusters when compared with similar methods. And the results also demonstrate that PAAP is robust and effective when clustering Web pages.",

author = "Changyin Sun and Yifan Wang and Haina Zhao",

year = "2009",

doi = "10.1007/978-3-642-01510-6\_82",

language = "英语",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

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booktitle = "Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings",

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Sun, C, Wang, Y & Zhao, H 2009, Web page clustering VIA partition adaptive affinity propagation. in Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5552 LNCS, pp. 727-736, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, 26/05/09. https://doi.org/10.1007/978-3-642-01510-6_82

Web page clustering VIA partition adaptive affinity propagation. / Sun, Changyin; Wang, Yifan; Zhao, Haina.
Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2. ed. 2009. p. 727-736 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5552 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sun, Changyin

AU - Wang, Yifan

AU - Zhao, Haina

PY - 2009

Y1 - 2009

N2 - Clustering techniques have been applied to categorize documents on Web and extract knowledge from Web. In this paper, we introduce a novel clustering method into Web page clustering, which is an extension of affinity propagation (AP). This method is called partition adaptive affinity propagation (PAAP), which can automatically rerun AP procedure to yield optimal clustering results and eliminate number oscillations if they occur. Experiments are carried out to compare PAAP with K-means and AP on ten different Web page data sets. The results verify that PAAP can find better clusters when compared with similar methods. And the results also demonstrate that PAAP is robust and effective when clustering Web pages.

AB - Clustering techniques have been applied to categorize documents on Web and extract knowledge from Web. In this paper, we introduce a novel clustering method into Web page clustering, which is an extension of affinity propagation (AP). This method is called partition adaptive affinity propagation (PAAP), which can automatically rerun AP procedure to yield optimal clustering results and eliminate number oscillations if they occur. Experiments are carried out to compare PAAP with K-means and AP on ten different Web page data sets. The results verify that PAAP can find better clusters when compared with similar methods. And the results also demonstrate that PAAP is robust and effective when clustering Web pages.

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DO - 10.1007/978-3-642-01510-6_82

M3 - 会议稿件

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SN - 9783642015090

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BT - Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings

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Sun C, Wang Y, Zhao H. Web page clustering VIA partition adaptive affinity propagation. In Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2 ed. 2009. p. 727-736. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-01510-6_82

Web page clustering VIA partition adaptive affinity propagation

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