Clustering on manifolds with dual-rooted minimal spanning trees
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[1] Joseph L. Zinnes,et al. Theory and Methods of Scaling. , 1958 .
[2] Chein-I Chang,et al. An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis , 2000, IEEE Trans. Inf. Theory.
[3] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[4] Sergios Theodoridis,et al. Pattern Recognition , 1998, IEEE Trans. Neural Networks.
[5] R. Prim. Shortest connection networks and some generalizations , 1957 .
[6] Ronald R. Coifman,et al. Data Fusion and Multicue Data Matching by Diffusion Maps , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Alfred O. Hero,et al. Entropic graphs for intrinsic dimension estimation in manifold learning , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..
[8] Alfred O. Hero,et al. Dual Rooted-Diffusions for Clustering and Classification on Manifolds , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[9] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[10] Rui Xu,et al. Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.
[11] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[12] Pietro Perona,et al. Self-Tuning Spectral Clustering , 2004, NIPS.
[13] Alon Schclar,et al. A Diffusion Framework for Dimensionality Reduction , 2008, Soft Computing for Knowledge Discovery and Data Mining.
[14] Fan Chung,et al. Spectral Graph Theory , 1996 .
[15] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[16] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.