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» A clustering method that uses lossy aggregation of data
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SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
13 years 9 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
TVCG
2002
156views more  TVCG 2002»
13 years 7 months ago
A Hardware-Assisted Scalable Solution for Interactive Volume Rendering of Time-Varying Data
We present a scalable volume rendering technique that exploits lossy compression and low-cost commodity hardware to permit highly interactive exploration of time-varying scalar vol...
Eric B. Lum, Kwan-Liu Ma, John Clyne
IDEAL
2009
Springer
14 years 6 days ago
Web Feed Clustering and Tagging Aggregator Using Topological Tree-Based Self-Organizing Maps
With the rapid and dramatic increase in web feeds published by different publishers, providers or websites via Really Simple Syndication (RSS) and Atom, users cannot be expected t...
Richard T. Freeman
ICC
2011
IEEE
257views Communications» more  ICC 2011»
12 years 7 months ago
Increasing the Lifetime of Roadside Sensor Networks Using Edge-Betweenness Clustering
Abstract—Wireless Sensor Networks are proven highly successful in many areas, including military and security monitoring. In this paper, we propose a method to use the edge–bet...
Joakim Flathagen, Ovidiu Valentin Drugan, Paal E. ...
CCECE
2009
IEEE
14 years 22 days ago
Cluster head selection using RF signal strength
The LEACH algorithm for selecting cluster heads is a probabilistic method which produces clusters with a large variation of link distances and uneven energy consumption during the...
Scott Fazackerley, Alan Paeth, Ramon Lawrence