Algorithms – ESA 2013
暂无分享,去创建一个
[1] Dan Feldman,et al. A PTAS for k-means clustering based on weak coresets , 2007, SCG '07.
[2] Christian Sohler,et al. Coresets in dynamic geometric data streams , 2005, STOC '05.
[3] Michalis Vazirgiannis,et al. c ○ 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. On Clustering Validation Techniques , 2022 .
[4] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[5] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[6] Sergei Vassilvitskii,et al. How slow is the k-means method? , 2006, SCG '06.
[7] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[8] Sudipto Guha,et al. ROCK: a robust clustering algorithm for categorical attributes , 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).
[9] Douglas H. Fisher,et al. Knowledge Acquisition Via Incremental Conceptual Clustering , 1987, Machine Learning.
[10] Sariel Har-Peled,et al. On coresets for k-means and k-median clustering , 2004, STOC '04.
[11] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[12] Jon Louis Bentley,et al. Decomposable Searching Problems I: Static-to-Dynamic Transformation , 1980, J. Algorithms.
[13] Pankaj K. Agarwal,et al. Geometric Range Searching and Its Relatives , 2007 .
[14] Sudipto Guha,et al. CURE: an efficient clustering algorithm for large databases , 1998, SIGMOD '98.
[15] Jiawei Han,et al. CLARANS: A Method for Clustering Objects for Spatial Data Mining , 2002, IEEE Trans. Knowl. Data Eng..
[16] Ke Chen,et al. On Coresets for k-Median and k-Means Clustering in Metric and Euclidean Spaces and Their Applications , 2009, SIAM J. Comput..
[17] Dan Feldman,et al. Turning big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering , 2013, SODA.
[18] Michael Langberg,et al. A unified framework for approximating and clustering data , 2011, STOC.
[19] Sudipto Guha,et al. Clustering Data Streams: Theory and Practice , 2003, IEEE Trans. Knowl. Data Eng..
[20] Sudipto Guha,et al. Streaming-data algorithms for high-quality clustering , 2002, Proceedings 18th International Conference on Data Engineering.
[21] Pankaj K. Agarwal,et al. Approximating extent measures of points , 2004, JACM.
[22] Michael Langberg,et al. Universal epsilon-approximators for Integrals , 2010, ACM-SIAM Symposium on Discrete Algorithms.
[23] Sariel Har-Peled,et al. Smaller Coresets for k-Median and k-Means Clustering , 2005, SCG.
[24] Christian Sohler,et al. StreamKM++: A clustering algorithm for data streams , 2010, JEAL.