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Incremental Nonlinear Dimensionality Reduction by Manifold Learning.

, and . IEEE Trans. Pattern Anal. Mach. Intell., 28 (3): 377-391 (2006)

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A Feature Selection Wrapper for Mixtures., , and . IbPRIA, volume 2652 of Lecture Notes in Computer Science, page 229-237. Springer, (2003)Measures of Geometrical Complexity in Classification Problems, , and . (2006)Rival Penalized Competitive Learning for Model-Based Sequence Clustering., and . ICPR, page 2195-2198. IEEE Computer Society, (2000)Applying the Bayesian Evidence Framework to -Support Vector Regression., and . ECML, volume 2167 of Lecture Notes in Computer Science, page 312-323. Springer, (2001)Feature Selection in Mixture-Based Clustering., , and . NIPS, page 625-632. MIT Press, (2002)Incremental Nonlinear Dimensionality Reduction by Manifold Learning., and . IEEE Trans. Pattern Anal. Mach. Intell., 28 (3): 377-391 (2006)Data Clustering: A User's Dilemma., and . PReMI, volume 3776 of Lecture Notes in Computer Science, page 1-10. Springer, (2005)Nonlinear Manifold Learning for Data Stream., , and . SDM, page 33-44. SIAM, (2004)Model-based Clustering With Probabilistic Constraints., , and . SDM, page 641-645. SIAM, (2005)Multiobjective Data Clustering., , and . CVPR (2), page 424-430. IEEE Computer Society, (2004)