WORKSHOP SCHEDULE


8:30-9:00
Statistical-Algorithmic Method for Bicluster Analysis and
its Application to Genome-wide Biological Data
Roded Sharan
University of California, Berkeley
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9:05-9:20
Hierarchical Clustering of Gene Microarray Expression Data
Feng Luo, Kun Tang and Latifur Khan
Department of Computer Science
University of Texas at Dallas
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9:25-9:40
A Local Smoothing and Geodesic Distance Based Clustering
Algorithm for High Dimensional Noisy Data; Utilizing
Embedded Geometric Structures
Xiaoming Huo, Georgia Institute of Technology
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9:45-10:00
Breaking Down Dimensionality:
An Effective Subspace Selection Method for High-Dimensional Clustering
Diansheng Guo, Donna Peuquet, Mark Gahegan, Alan MacEachren
Pennsylvania State University
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10:30-11:00
Spectral Analysis of Microarray Data
Yuval Kluger
Yale University
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11:05-11:20
A Wavelet-Based Anytime Algorithm for K-Means Clustering of Time Series
Jessica Lin, Michail Vlachos, Eamonn Keogh, Dimitrios Gunopulos
Computer Science & Engineering Department, University of 
California-Riverside
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11:25-11:40
A Comparative Study of Generative Models for Document Clustering
Shi Zhong and Joydeep Ghosh
University of Texas, Austin
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11:45-12:00
Clustering Large and Sparse Co-occurrence Data
Inderjit S. Dhillon and Yuqiang Guan
University of Texas, Austin
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12:05-12:20
Optimization Approach to Generating Families of
$k$--means Like Algorithms
Jacob Kogan, UMBC; Marc Teboulle, Tel-Aviv University;
Charles Nicholas, UMBC