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» Algorithms for Clustering Data
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SODA
2012
ACM
223views Algorithms» more  SODA 2012»
11 years 10 months ago
Data reduction for weighted and outlier-resistant clustering
Statistical data frequently includes outliers; these can distort the results of estimation procedures and optimization problems. For this reason, loss functions which deemphasize ...
Dan Feldman, Leonard J. Schulman
IMSCCS
2007
IEEE
14 years 2 months ago
Linear Correlation Analysis of Numeric Attributes for Government Data
To analyze the linear correlations of numeric attributes of government data, this paper proposes a method based on the clustering algorithm. A clustering method is adopted to prun...
Ying Chen, Guochang Gu, Tian-yang Lv, Shaobin Huan...
ICDM
2008
IEEE
185views Data Mining» more  ICDM 2008»
14 years 2 months ago
Clustering Uncertain Data Using Voronoi Diagrams
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing H...
RECOMB
2002
Springer
14 years 8 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
SETN
2004
Springer
14 years 1 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas