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» Self-Sizing of Clustered Databases
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PODS
2007
ACM
100views Database» more  PODS 2007»
14 years 9 months ago
Finding near neighbors through cluster pruning
Flavio Chierichetti, Alessandro Panconesi, Prabhak...
ICDE
2010
IEEE
222views Database» more  ICDE 2010»
13 years 7 months ago
Finding Clusters in subspaces of very large, multi-dimensional datasets
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
Robson Leonardo Ferreira Cordeiro, Agma J. M. Trai...
KDD
2012
ACM
196views Data Mining» more  KDD 2012»
11 years 11 months ago
Chromatic correlation clustering
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...
PODS
2006
ACM
107views Database» more  PODS 2006»
14 years 9 months ago
Programmable clustering
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...
Sreenivas Gollapudi, Ravi Kumar, D. Sivakumar
ICDE
2006
IEEE
114views Database» more  ICDE 2006»
14 years 3 months ago
Novelty-based Incremental Document Clustering for On-line Documents
Document clustering has been used as a core technique in managing vast amount of data and providing needed information. In on-line environments, generally new information gains mo...
Sophoin Khy, Yoshiharu Ishikawa, Hiroyuki Kitagawa