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» Dominant Sets and Hierarchical Clustering
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BMCBI
2011
13 years 2 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
CGF
2010
165views more  CGF 2010»
13 years 6 months ago
Hierarchical Structure Recovery of Point-Sampled Surfaces
We focus on the class of regular models defined by Várady et al. for reverse engineering purposes. Given a 3D surface M represented through a dense set of points, we present a n...
Marco Attene, Giuseppe Patanè
ICDCSW
2005
IEEE
14 years 1 months ago
Cluster-Based Intelligent Searching in Unstructured Peer-to-Peer Networks
Existing cluster-based searching schemes in unstructured peer-to-peer (P2P) networks employ flooding/random forwarding on connected dominating sets (CDS) of networks. There exist...
Xiuqi Li, Jie Wu
DAS
2008
Springer
13 years 9 months ago
A Comparison of Clustering Methods for Word Image Indexing
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
Simone Marinai, Emanuele Marino, Giovanni Soda
ISPA
2004
Springer
14 years 1 months ago
An Enhanced Message Exchange Mechanism in Cluster-Based Mobile Ad Hoc Networks
Abstract. In mobile ad hoc networks (MANETs), networks can be partitioned into clusters. Clustering algorithms are localized algorithms that have the property of creating an upper ...
Wei Lou, Jie Wu