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SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
15 years 10 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
ACMSE
2010
ACM
14 years 11 months ago
Mining relaxed closed subspace clusters
This paper defines and discusses a new problem in the area of subspace clustering. It defines the problem of mining closed subspace clusters. This new concept allows for the culli...
Erich Allen Peterson, Peiyi Tang
AI
2009
Springer
15 years 8 months ago
An Ontology-Based Spatial Clustering Selection System
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...
Wei Gu, Xin Wang, Danielle Ziébelin
AAAI
2007
15 years 3 months ago
Clustering with Local and Global Regularization
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
Fei Wang, Changshui Zhang, Tao Li
BMVC
2000
15 years 2 months ago
Building Temporal Models for Gesture Recognition
This work presents a piecewise linear approximation to non-linear Point Distribution Models for modelling the human hand. The work utilises the natural segmentation of shape space...
Richard Bowden, Mansoor Sarhadi