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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제6권 제1호
- 발행연도
- 2010.1
- 수록면
- 67 - 78 (12page)
이용수
초록· 키워드
오류제보하기
In this study, a clustering algorithm that uses DCT transformed data is presented. The algorithm is a grid density-based clustering algorithm that can identify clusters of arbitrary shape. Streaming data are transformed and reconstructed as needed for clustering. Experimental results show that DCT is able to approximate a data distribution efficiently using only a small number of coefficients and preserve the clusters well. The grid based clustering algorithm works well with DCT transformed data, demonstrating the viability of DCT for data stream clustering applications.
목차
등록된 정보가 없습니다.
참고문헌 (15)
참고문헌 신청
C. C. Aggarwal / 2003 / A Frame-work for Clustering Evolving Data Streams / VLDB Conference
C. C. Aggarwal / 2004 / A Frame-work for Projected Clustering of High Dimension Data Streams / VLDB Conference
D.Fisher / 1996 / Iterative Optimization and Simplification of Hierarchical Clusterings / Journal of AI Research 4 : 147 ~ 180
G. Medhat, M / 2004 / Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments / Proc. of 6th Int. Conf. on Data Warehousing and Knowledge Discove
G.Strang / 1999 / The Discrete Cosine Transform / SLAM Review 41 (1) : 135 ~ 147
C. C. Aggarwal / 2004 / A Frame-work for Projected Clustering of High Dimension Data Streams / VLDB Conference
D.Fisher / 1996 / Iterative Optimization and Simplification of Hierarchical Clusterings / Journal of AI Research 4 : 147 ~ 180
G. Medhat, M / 2004 / Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments / Proc. of 6th Int. Conf. on Data Warehousing and Knowledge Discove
G.Strang / 1999 / The Discrete Cosine Transform / SLAM Review 41 (1) : 135 ~ 147
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