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ICML
2007
IEEE
16 years 2 months ago
A dependence maximization view of clustering
We propose a family of clustering algorithms based on the maximization of dependence between the input variables and their cluster labels, as expressed by the Hilbert-Schmidt Inde...
Le Song, Alexander J. Smola, Arthur Gretton, Karst...
WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
15 years 7 months ago
Possibilistic Clustering in Feature Space
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 7 months ago
Error-Aware Density-Based Clustering of Imprecise Measurement Values
Manufacturing process development is under constant pressure to achieve a good yield for stable processes. The development of new technologies, especially in the field of photoma...
Dirk Habich, Peter Benjamin Volk, Wolfgang Lehner,...
ISICA
2007
Springer
15 years 7 months ago
Instant Message Clustering Based on Extended Vector Space Model
Instant intercommunion techniques such as Instant Messaging (IM) are widely popularized. Aiming at such kind of large scale masscommunication media, clustering on its text conte...
Le Wang, Yan Jia, Weihong Han
DAGM
2005
Springer
15 years 7 months ago
Cluster-Based Point Cloud Analysis for Rapid Scene Interpretation
A histogram-based method for the interpretation of three-dimensional (3D) point clouds is introduced, where point clouds represent the surface of a scene of multiple objects and ba...
Eric Wahl, Gerd Hirzinger