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IJVR
2007
85views more  IJVR 2007»
15 years 5 months ago
Detection of Landmarks for Clustering of Online-Game Players
—Understanding of player behaviors is an important issue to keep online games interesting to their players. Focusing on player movement, in our previous work, we proposed a metho...
Ruck Thawonmas, Masayoshi Kurashige, Kuan-Ta Chen
TIP
2008
125views more  TIP 2008»
15 years 5 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte
TVCG
2008
95views more  TVCG 2008»
15 years 5 months ago
Improving the Readability of Clustered Social Networks using Node Duplication
Exploring communities is an important task in social network analysis. Such communities are currently identified using clustering methods to group actors. This approach often leads...
Nathalie Henry, Anastasia Bezerianos, Jean-Daniel ...
CCR
2002
98views more  CCR 2002»
15 years 5 months ago
Efficient flooding with Passive Clustering (PC) in ad hoc networks
An ad hoc network is a fast deployable selfconfiguring wireless network characterized by node mobility, dynamic topology structure, unreliable media and limited power supply. Node...
Taek Jin Kwon, Mario Gerla
TKDE
2010
251views more  TKDE 2010»
15 years 4 months ago
Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
—We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises...
Ben Kao, Sau Dan Lee, Foris K. F. Lee, David Wai-L...