Squeezer: An efficient algorithm for clustering categorical data

Author:

He Zengyou,Xu Xiaofei,Deng Shengchun

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Reference17 articles.

1. Sudipto Guha, Rajeev Rastogi, Kyuseok Shim. ROCK: A robust clustering algorithm for categorical attributes. InProc. 1999 Int. Conf. Data Engineering, Sydney, Australia, Mar., 1999, pp. 512–521.

2. Alexandros Nanopoulos, Yannis Theodoridis, Yannis Manolopoulos C2P: Clustering based on closest pairs. InProc. 27th Int. Conf. Very Large Database, Rome, Italy, September, 2001, pp. 331–340.

3. Ester M, Kriegel H P, Sander J, Xu X. A density-based algorithm for discovering clusters in large spatial databases. InProc. 1996 Int. Conf. Knowledge Discovery and Data Mining (KDD’96), Portland, Oregon, USA., Aug., 1996, pp.226–231.

4. Zhang T, Ramakrishnan R, Livny M. BIRTH: An efficient data clustering method for very large databases. InProc. the ACM-SIGMOD Int. Conf. Management of Data, Montreal, Quebec, Canada, June, 1996, pp. 103–114.

5. Sudipto Guha, Rajeev Rastogi, Kyuseok Shim. CURE: A clustering algorithm for large databases. InProc. the ACM SIGMOD Int. Conf. Management of Data, Seattle, Washington, USA, June, 1998, pp. 73–84.

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