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» A Novel Framework for Discovering Robust Cluster Results
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PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
14 years 10 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...
CVPR
2011
IEEE
14 years 7 months ago
A Closed Form Solution to Robust Subspace Estimation and Clustering
We consider the problem of fitting one or more subspaces to a collection of data points drawn from the subspaces and corrupted by noise/outliers. We pose this problem as a rank m...
Paolo Favaro, René, Vidal, Avinash Ravichandran
IJIT
2004
15 years 1 months ago
On the Noise Distance in Robust Fuzzy C-Means
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...
GFKL
2004
Springer
154views Data Mining» more  GFKL 2004»
15 years 5 months ago
Discovering Temporal Knowledge in Multivariate Time Series
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...
Fabian Mörchen, Alfred Ultsch
CVPR
2009
IEEE
16 years 6 months ago
Monitoring, Recognizing and Discovering Social Networks
This work addresses the important problem of the discovery and analysis of social networks from surveillance video. A computer vision approach to this problem is made possible b...
Ting Yu, Ser Nam Lim, Kedar A. Patwardhan, Nils Kr...