Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
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[1] David G. Stork,et al. Pattern Classification , 1973 .
[2] R. Jarvis,et al. ClusteringUsing a Similarity Measure Based on SharedNear Neighbors , 1973 .
[3] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[4] Peter Willett,et al. Comparison of Hierarchie Agglomerative Clustering Methods for Document Retrieval , 1989, Comput. J..
[5] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[6] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[7] Daphne Koller,et al. Hierarchically Classifying Documents Using Very Few Words , 1997, ICML.
[8] Oren Etzioni,et al. Fast and Intuitive Clustering of Web Documents , 1997, KDD.
[9] Gerald Kowalski,et al. Information Retrieval Systems: Theory and Implementation , 1997 .
[10] Sudipto Guha,et al. CURE: an efficient clustering algorithm for large databases , 1998, SIGMOD '98.
[11] Daniel A. Keim,et al. An Efficient Approach to Clustering in Large Multimedia Databases with Noise , 1998, KDD.
[12] G. Taylor. Impacts of the El Ni?o/Southern Oscillation on the Pacific Northwest , 1998 .
[13] Vipin Kumar,et al. Multilevel Algorithms for Multi-Constraint Graph Partitioning , 1998, Proceedings of the IEEE/ACM SC98 Conference.
[14] George Karypis,et al. C HAMELEON : A Hierarchical Clustering Algorithm Using Dynamic Modeling , 1999 .
[15] Daniel A. Keim,et al. Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering , 1999, VLDB.
[16] Hans-Peter Kriegel,et al. OPTICS: ordering points to identify the clustering structure , 1999, SIGMOD '99.
[17] Sudipto Guha,et al. ROCK: a robust clustering algorithm for categorical attributes , 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).
[18] Philip S. Yu,et al. On the merits of building categorization systems by supervised clustering , 1999, KDD '99.
[19] Chinatsu Aone,et al. Fast and effective text mining using linear-time document clustering , 1999, KDD '99.
[20] Vipin Kumar,et al. Chameleon: Hierarchical Clustering Using Dynamic Modeling , 1999, Computer.
[21] George Karypis,et al. Fast supervised dimensionality reduction algorithm with applications to document categorization & retrieval , 2000, CIKM '00.
[22] Andrew McCallum,et al. Efficient clustering of high-dimensional data sets with application to reference matching , 2000, KDD '00.
[23] George Karypis,et al. A Comparison of Document Clustering Techniques , 2000 .
[24] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD '00.
[25] R. Mooney,et al. Impact of Similarity Measures on Web-page Clustering , 2000 .
[26] M. Steinbach,et al. Clustering Earth Science Data: Goals, Issues and Results , 2001 .
[27] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[28] George Karypis,et al. Evaluation of hierarchical clustering algorithms for document datasets , 2002, CIKM '02.
[29] Levent Ertoz,et al. A New Shared Nearest Neighbor Clustering Algorithm and its Applications , 2002 .
[30] M. Steinbach,et al. Data Mining for the Discovery of Ocean Climate Indices , 2002 .
[31] Vipin Kumar,et al. Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach , 2003, Clustering and Information Retrieval.
[32] Hans-Peter Kriegel,et al. Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications , 1998, Data Mining and Knowledge Discovery.
[33] Inderjit S. Dhillon,et al. Concept Decompositions for Large Sparse Text Data Using Clustering , 2004, Machine Learning.
[34] Yong Wang,et al. A Comparison of Document Clustering Algorithms , 2005, PRIS.