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ICML
2005
IEEE
16 years 20 days ago
Clustering through ranking on manifolds
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
Markus Breitenbach, Gregory Z. Grudic
ICML
2005
IEEE
16 years 20 days ago
Statistical and computational analysis of locality preserving projection
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
Xiaofei He, Deng Cai, Wanli Min
ICML
2005
IEEE
16 years 20 days ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
SIGSOFT
2005
ACM
16 years 18 days ago
A case study on value-based requirements tracing
Project managers aim at keeping track of interdependencies between various artifacts of the software development lifecycle, to find out potential requirements conflicts, to better...
Matthias Heindl, Stefan Biffl
76
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WWW
2005
ACM
16 years 16 days ago
Popular web hot spots identification and visualization
This work aims a two-fold contribution: it presents a software to analyse logfiles and visualize popular web hot spots and, additionally, presents an algorithm to use this informa...
D. Avramouli, John D. Garofalakis, Dimitris J. Kav...