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VIS
2008
IEEE
204views Visualization» more  VIS 2008»
14 years 11 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
WCNC
2008
IEEE
14 years 4 months ago
Clustering Characteristics of Millimeter Wave Indoor Channels
—Temporal-Angular channel sounding measurements of an indoor millimeter wave channel (60 GHz) is analyzed to determine whether ray arrivals at the receiver form clusters in the t...
Behnam Neekzad, Kamran Sayrafian-Pour, John S. Bar...
EKAW
2006
Springer
14 years 1 months ago
Multilayered Semantic Social Network Modeling by Ontology-Based User Profiles Clustering: Application to Collaborative Filtering
We propose a multilayered semantic social network model that offers different views of common interests underlying a community of people. The applicability of the proposed model to...
Iván Cantador, Pablo Castells
PRL
1998
91views more  PRL 1998»
13 years 9 months ago
Genetic operators for hierarchical graph clustering
In this paper we propose an encoding scheme and ad hoc operators for a genetic approach to hierarchical graph clustering. Given a connected graph whose vertices correspond to poin...
Stefano Rizzi