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ORCIDGrouping Multidimensional Data 2006
- Jacob Kogan, Charles K. Nicholas, Marc Teboulle:
Grouping Multidimensional Data - Recent Advances in Clustering. Springer 2006, ISBN 978-3-540-28348-5 - Javed A. Aslam, Ekaterina Pelekhov, Daniela Rus:
The Star Clustering Algorithm for Information Organization. 1-23 - Pavel Berkhin:
A Survey of Clustering Data Mining Techniques. 25-71 - Joydeep Ghosh, Alexander Strehl:
Similarity-Based Text Clustering: A Comparative Study. 73-97 - David Littau, Daniel Boley:
Clustering Very Large Data Sets with Principal Direction Divisive Partitioning. 99-126 - Marc Teboulle, Pavel Berkhin, Inderjit S. Dhillon, Yuqiang Guan, Jacob Kogan:
Clustering with Entropy-Like k-Means Algorithms. 127-160 - Zeev Volkovich
, Jacob Kogan, Charles K. Nicholas:
Sampling Methods for Building Initial Partitions. 161-185 - Dimitrios Zeimpekis, Efstratios Gallopoulos:
TMG: A MATLAB Toolbox for Generating Term-Document Matrices from Text Collections. 187-210 - Ying Zhao, George Karypis:
Criterion Functions for Clustering on High-Dimensional Data. 211-237
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