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COLT
2008
Springer
15 years 8 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
PR
2008
123views more  PR 2008»
15 years 6 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
KDD
1997
ACM
106views Data Mining» more  KDD 1997»
15 years 10 months ago
Clustering Sequences of Complex Objects
Sequential Data This paper is about the unsuperviseddiscovery of patterns in sequencesof compositeobjects. A compositeobject may be describedas a sequenceof other, simpler data. In...
A. Ketterlin
ICPR
2010
IEEE
16 years 9 days ago
The Detection of Concept Frames Using Clustering Multi-Instance Learning
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
David Tax, Michel Valstar
CHI
2002
ACM
16 years 7 months ago
User activity histories
Current software interfaces fail to incorporate historical data from user interaction into their design. While some systems exhibit a minimalist use of history in the form of undo...
Etienne Pelaprat, R. Benjamin Shapiro