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PR
2008
169views more  PR 2008»
13 years 10 months ago
A survey of kernel and spectral methods for clustering
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...
IPMU
2010
Springer
14 years 2 months ago
A Parallel between Extended Formal Concept Analysis and Bipartite Graphs Analysis
The paper offers a parallel between two approaches to conceptual clustering, namely
Bruno Gaume, Emmanuel Navarro, Henri Prade
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
13 years 8 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...
ICCAD
1994
IEEE
101views Hardware» more  ICCAD 1994»
14 years 2 months ago
A general framework for vertex orderings, with applications to netlist clustering
We present a general framework for the construction of vertex orderings for netlist clustering. Our WINDOW algorithm constructs an ordering by iteratively adding the vertex with h...
Charles J. Alpert, Andrew B. Kahng
DAGM
2008
Springer
13 years 12 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof