Darya Chudova, Scott Gaffney, Eric Mjolsness, Padhraic Smyth  Home/Search
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Abstract: In this paper we present a family of algorithms that can simultaneously align and cluster sets of multidimensional curves defined on a discrete time grid. Our approach assumes that the data are being generated from a finite mixture of curve models. Each mixture component uses (a) a mean curve based on a flexible non-parametric representation, (b) additive measurement noise, (c) randomly selected discrete-valued shifts of each curve with respect to the independent variable (i.e., typically ... (Update)
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BibTeX entry: (Update)
D. Chudova, S. J. Gaffney, E. Mjolsness, and P. J. Smyth. Translation-invariant mixture models for curve clustering. In Proc. Ninth ACM SIGKDD Inter. Conf. on Knowledge Discovery and Data Mining, Washington D.C., August 24--27, New York, 2003. ACM Press. http://citeseer.ist.psu.edu/chudova03translationinvariant.html More
@misc{ chudova03translationinvariant,
author = "D. Chudova and S. Gaffney and E. Mjolsness and P. Smyth",
title = "Translation-invariant mixture models for curve clustering",
text = "D. Chudova, S. J. Gaffney, E. Mjolsness, and P. J. Smyth. Translation-invariant
mixture models for curve clustering. In Proc. Ninth ACM SIGKDD Inter. Conf.
on Knowledge Discovery and Data Mining, Washington D.C., August 24--27,
New York, 2003. ACM Press.",
year = "2003",
url = "citeseer.ist.psu.edu/chudova03translationinvariant.html" }
Citations (may not include all citations):2528 Maximum likelihood from incomplete data via the EM algorithm (context) - Dempster, Laird et al. - 1977
272 Cluster analysis and display of genome-wide expression patte.. (context) - Eisen, Spellman et al. - 1998
269 Bayesian Learning for Neural Networks (context) - Neal - 1996
205 Mixture Models: Inference and Applications to Clustering (context) - McLachlan, Basford - 1988
150 On Bayesian analysis of mixtures with an unknown number of c.. - Richardson, Green - 1997
144 Probabilistic Networks and Expert Systems (context) - Cowell, Dawid et al. - 1999
119 Comprehensive identification of cell cycle-regulated genes o.. - Spellman, Sherlock et al. - 1998
118 Model-based Gaussian and non-Gaussian clustering (context) - Banfield, Raftery - 1993
54 Estimation of finite mixture distributions through Bayesian .. (context) - Diebolt, Robert - 1994
47 Functional Data Analysis - Ramsay, Silverman - 1997
42 Monte Carlo Strategies in Scientific Computing (context) - Liu - 2001
39 means clustering algorithm (context) - Hartigan, Wong et al. - 1978
25 Bayesian reconstruction of PET images: methodology and perfo.. (context) - Mumcuoglu, Leahy et al. - 1996
22 point matching: pose estimation and correspondence (context) - Gold, Rangarajan et al. - 1998
19 Learning with preknowledge: Clustering with point and graph .. - Gold, Rangarajan et al. - 1996
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