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APVIS
2010
15 years 4 months ago
Interactive local clustering operations for high dimensional data in parallel coordinates
In this paper, we propose an approach of clustering data in parallel coordinates through interactive local operations. Different from many other methods in which clustering is glo...
Peihong Guo, He Xiao, Zuchao Wang, Xiaoru Yuan
DL
2000
Springer
210views Digital Library» more  DL 2000»
15 years 11 months ago
Extracting and visualizing semantic structures in retrieval results for browsing
The paper introduces an approach that organizes retrieval results semantically and displays them spatially for browsing. Latent Semantic Analysis as well as cluster techniques are...
Katy Börner
204
Voted
CVPR
2004
IEEE
16 years 8 months ago
Bayesian Face Recognition Using Support Vector Machine and Face Clustering
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
Zhifeng Li, Xiaoou Tang
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 7 months ago
Generative model-based clustering of directional data
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
STOC
2003
ACM
141views Algorithms» more  STOC 2003»
16 years 7 months ago
Better streaming algorithms for clustering problems
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
Moses Charikar, Liadan O'Callaghan, Rina Panigrahy