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CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 6 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
SAC
2008
ACM
15 years 6 months ago
XEdge: clustering homogeneous and heterogeneous XML documents using edge summaries
In this paper we propose a unified clustering algorithm for both homogeneous and heterogeneous XML documents. Depending on the type of the XML documents, the proposed algorithm mo...
Panagiotis Antonellis, Christos Makris, Nikos Tsir...
TSE
2011
111views more  TSE 2011»
15 years 1 months ago
Software Module Clustering as a Multi-Objective Search Problem
Software module clustering is the problem of automatically organising software units into modules to improve program structure. There has been a great deal of recent interest in s...
Kata Praditwong, Mark Harman, Xin Yao
200
Voted
BMCBI
2011
15 years 1 months ago
Ultra-fast sequence clustering from similarity networks with SiLiX
Background: The number of gene sequences that are available for comparative genomics approaches is increasing extremely quickly. A current challenge is to be able to handle this h...
Vincent Miele, Simon Penel, Laurent Duret
ICIP
2000
IEEE
16 years 8 months ago
Clustered Component Analysis for FMRI Signal Estimation and Classification
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
Charles A. Bouman, Sea Chen, Mark J. Lowe