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SMI
2008
IEEE
108views Image Analysis» more  SMI 2008»
13 years 11 months ago
Variational Multilevel Mesh Clustering
In this paper a novel clustering algorithm is proposed, namely Variational Multilevel Mesh Clustering (VMLC). The algorithm incorporates the advantages of both hierarchical and va...
Iurie Chiosa, Andreas Kolb
ICTAI
2010
IEEE
13 years 2 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
INFORMATICALT
2011
170views more  INFORMATICALT 2011»
12 years 11 months ago
Community Detection Through Optimal Density Contrast of Adjacency Matrix
Detecting communities in real world networks is an important problem for data analysis in science and engineering. By clustering nodes intelligently, a recursive algorithm is desig...
Tianzhu Liang, Kwok Yip Szeto
CORR
1999
Springer
222views Education» more  CORR 1999»
13 years 4 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount
VLDB
2007
ACM
155views Database» more  VLDB 2007»
14 years 5 months ago
Towards Graph Containment Search and Indexing
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, D...