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SIGMOD
2003
ACM
163views Database» more  SIGMOD 2003»
14 years 11 months ago
Multi-Dimensional Clustering: A New Data Layout Scheme in DB2
We describe the design and implementation of a new data layout scheme, called multi-dimensional clustering, in DB2 Universal Database Version 8. Many applications, e.g., OLAP and ...
Sriram Padmanabhan, Bishwaranjan Bhattacharjee, Ti...
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
14 years 11 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
PAMI
2007
202views more  PAMI 2007»
13 years 10 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CVPR
2003
IEEE
15 years 26 days ago
Robust Data Clustering
We address the problem of robust clustering by combining data partitions (forming a clustering ensemble) produced by multiple clusterings. We formulate robust clustering under an ...
Ana L. N. Fred, Anil K. Jain
BMCBI
2010
214views more  BMCBI 2010»
13 years 11 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper