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» Rearranging data objects for efficient and stable clustering
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SADM
2008
165views more  SADM 2008»
13 years 6 months ago
Global Correlation Clustering Based on the Hough Transform
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...
Elke Achtert, Christian Böhm, Jörn David...
VLDB
1998
ACM
112views Database» more  VLDB 1998»
13 years 11 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
ICC
2007
IEEE
115views Communications» more  ICC 2007»
14 years 1 months ago
Distributed Minimum-Cost Clustering Protocol for UnderWater Sensor Networks (UWSNs)
—In this paper, we study the node clustering problem in UnderWater Sensor Networks (UWSNs). We formulate the problem into a cluster-centric cost-based optimization problem with a...
Pu Wang, Cheng Li, Jun Zheng
AI
2009
Springer
14 years 1 months ago
An Ontology-Based Spatial Clustering Selection System
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...
Wei Gu, Xin Wang, Danielle Ziébelin
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
14 years 8 months ago
Distance Based Subspace Clustering with Flexible Dimension Partitioning
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
Guimei Liu, Jinyan Li, Kelvin Sim, Limsoon Wong