DOCUMENT CLUSTERING USING GRAVITATIONAL ENSEMBLE CLUSTERING

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Hashempour Sadeghian Armindokht; NEZAMABADI POUR HOSSEIN

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP)
Year:2015 | Issue:1

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Information Seminar Paper

Title

DOCUMENT CLUSTERING USING GRAVITATIONAL ENSEMBLE CLUSTERING

Author(s)

Hashempour Sadeghian Armindokht | NEZAMABADI POUR HOSSEIN | Issue Writer Certificate

Keywords

DATA MINING

DATA CLUSTERING

DOCUMENT CLUSTERING

GRAVITATIONAL CLUSTERING

QUALITY MEASURES

Abstract

TEXT MINING IS A FIELD THAT IS CONSIDERED AS AN EXTENSION OF DATA MINING IN GENERAL, ALSO KNOWN AS KNOWLEDGE DISCOVERY IN DATABASES. IN THE CONTEXT OF TEXT MINING, DOCUMENT CLUSTERING IS AN UNSUPERVISED LEARNING METHOD FOR AUTOMATICALLY SEGREGATING SIMILAR DOCUMENTS OF A CORPUS INTO THE SAME GROUP, CALLED CLUSTER, AND DISSIMILAR DOCUMENTS TO DIFFERENT GROUPS. WHILE HUNDREDS OF CLUSTERING ALGORITHMS EXIST, IT IS DIFFICULT TO FIND A SINGLE CLUSTERING ALGORITHM THAT CAN HANDLE ALL TYPES OF CLUSTER SHAPES AND SIZES, OR EVEN DECIDE WHICH ALGORITHM WOULD BE THE BEST ONE FOR A PARTICULAR DATA SET. EACH ALGORITHM HAS ITS OWN APPROACH FOR ESTIMATING THE NUMBER OF CLUSTERS, IMPOSING A STRUCTURE ON THE DATA, AND VALIDATING THE RESULTING CLUSTERS. THE IDEA OF COMBINING DIFFERENT CLUSTERING EMERGED AS AN APPROACH TO OVERCOME THE WEAKNESS OF SINGLE ALGORITHMS AND FURTHER IMPROVE THEIR PERFORMANCES. ON THE OTHER HAND, INSPIRED BY THE GRAVITATIONAL LAW, DIFFERENT CLUSTERING ALGORITHMS HAVE BEEN INTRODUCED THAT EACH ONE ATTEMPTED TO CLUSTER COMPLEX DATASETS. GRAVITATIONAL ENSEMBLE CLUSTERING (GEC) IS AN ENSEMBLE METHOD THAT EMPLOYS BOTH THE CONCEPTS OF GRAVITATIONAL CLUSTERING AND ENSEMBLE CLUSTERING TO REACH A BETTER CLUSTERING RESULT. THIS PAPER REPRESENTS AN APPLICATION OF GEC TO THE PROBLEM OF DOCUMENT CLUSTERING. THE PROPOSED METHOD USES A MODIFICATION OF THE ORIGINAL GEC ALGORITHM. THIS MODIFICATION TRIES TO PRODUCE A MORE VARIED CLUSTERING ENSEMBLE USING NEW PARAMETER SETTING. COMPUTATIONAL EXPERIMENTS WERE CONDUCTED TO TEST THE PERFORMANCE OF THE GEC APPROACH USING DOCUMENT DATASETS. PROMISING RESULTS OF THE PRESENTED METHOD WERE OBTAINED IN COMPARISON WITH COMPETING ALGORITHMS. ...

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APA: Copy

Hashempour Sadeghian, Armindokht, & NEZAMABADI POUR, HOSSEIN. (2015). DOCUMENT CLUSTERING USING GRAVITATIONAL ENSEMBLE CLUSTERING. INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). SID. https://sid.ir/paper/927519/en

Vancouver: Copy

Hashempour Sadeghian Armindokht, NEZAMABADI POUR HOSSEIN. DOCUMENT CLUSTERING USING GRAVITATIONAL ENSEMBLE CLUSTERING. 2015. Available from: https://sid.ir/paper/927519/en

IEEE: Copy

Armindokht Hashempour Sadeghian, and HOSSEIN NEZAMABADI POUR, “DOCUMENT CLUSTERING USING GRAVITATIONAL ENSEMBLE CLUSTERING,” presented at the INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). 2015, [Online]. Available: https://sid.ir/paper/927519/en

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