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» Massive Data Pre-Processing with a Cluster Based Approach
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CGF
1999
125views more  CGF 1999»
13 years 6 months ago
Partitioning and Handling Massive Models for Interactive Collision Detection
We describe an approach for interactive collision detection and proximity computations on massive models composed of millions of geometric primitives. We address issues related to...
Andy Wilson, Eric Larsen, Dinesh Manocha, Ming C. ...
PR
2007
107views more  PR 2007»
13 years 6 months ago
Newtonian clustering: An approach based on molecular dynamics and global optimization
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
Konstantinos Blekas, Isaac E. Lagaris
JDCTA
2010
119views more  JDCTA 2010»
13 years 1 months ago
Distributed Dual Cluster Algorithm Based on Grid for Sensor Streams
In practical applications, Wireless Sensor Networks generate massive data streams with the dual attributes in geography and optimization domain. Energy source of sensor nodes in W...
Jianghua Huang, Junying Zhang
ICNC
2005
Springer
14 years 6 days ago
An Unsupervised Cooperative Pattern Recognition Model to Identify Anomalous Massive SNMP Data Sending
In this paper, we review a visual approach and propose it for analysing computer-network activity, which is based on the use of unsupervised connectionist neural network models and...
Álvaro Herrero, Emilio Corchado, José...
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
14 years 9 days ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang