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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.8 No.3
- 발행연도
- 2008.9
- 수록면
- 231 - 237 (7page)
이용수
초록· 키워드
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This research proposes a modified version of single pass algorithm specialized for text clustering. Encoding documents into numerical vectors for using the traditional version of single pass algorithm causes the two main problems: huge dimensionality and sparse distribution. Therefore, in order to address the two problems, this research modifies the single pass algorithm into its version where documents are encoded into not numerical vectors but other forms. In the proposed version, documents are mapped into tables and the operation on two tables is defined for using the single pass algorithm. The goal of this research is to improve the performance of single pass algorithm for text clustering by modifying it into the specialized version.
목차
Abstract
1. Introduction
2. Previous Works
3. Document Encoding
4. Proposed Text Clustering System
5. Empirical Results
6. Conclusions
Reference
참고문헌 (11)
참고문헌 신청
C. Ambroise , 1998 , Convergence of an EM-type algorithm for spatial clustering , Pattern Recognition Letters 19 (10) : 919 ~ 927
A. Banerjee , 2003 , Generative model-based clustering of directional data , The Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : 19 ~ 28
G. Bote , 2002 , Document Organization using Kohonen’s Algorithm , Information Processing and Management 38 (1) : 79 ~ 89
V. Hatzivassiloglou , 2000 , An Investigation of Linguistic Features and Clustering Algorithms for Topical Document Clustering , The Proceedings of 23rd SIGIR : 224 ~ 231
T. Jo , 2007 , The Evaluation Measure of Text Clustering for the Variable Number of Clusters , Lecture Notes in Computer Science 4492 : 871 ~ 879
A. Banerjee , 2003 , Generative model-based clustering of directional data , The Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : 19 ~ 28
G. Bote , 2002 , Document Organization using Kohonen’s Algorithm , Information Processing and Management 38 (1) : 79 ~ 89
V. Hatzivassiloglou , 2000 , An Investigation of Linguistic Features and Clustering Algorithms for Topical Document Clustering , The Proceedings of 23rd SIGIR : 224 ~ 231
T. Jo , 2007 , The Evaluation Measure of Text Clustering for the Variable Number of Clusters , Lecture Notes in Computer Science 4492 : 871 ~ 879
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