Clustering-based hyperspectral band selection using sparse nonnegative matrix factorization
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[1] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[2] Pramod K. Varshney,et al. Logistic Regression for Feature Selection and Soft Classification of Remote Sensing Data , 2006, IEEE Geoscience and Remote Sensing Letters.
[3] I. Jolliffe. Principal Component Analysis , 2002 .
[4] Anuj Srivastava,et al. A Bayesian MRF framework for labeling terrain using hyperspectral imaging , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[5] Rick Archibald,et al. Feature Selection and Classification of Hyperspectral Images With Support Vector Machines , 2007, IEEE Geoscience and Remote Sensing Letters.
[6] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[7] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[8] C. Ding,et al. On the Equivalence of Nonnegative Matrix Factorization and K-means - Spectral Clustering , 2005 .
[9] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[10] Patrik O. Hoyer,et al. Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..
[11] Hyunsoo Kim,et al. Sparse Non-negative Matrix Factorizations via Alternating Non-negativity-constrained Least Squares , 2006 .
[12] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[13] Chein-I Chang,et al. Variable-Number Variable-Band Selection for Feature Characterization in Hyperspectral Signatures , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[14] Qian Du,et al. A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification , 1999, IEEE Trans. Geosci. Remote. Sens..
[15] Haesun Park,et al. Sparse Nonnegative Matrix Factorization for Clustering , 2008 .
[16] N. Keshava,et al. Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[17] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[18] Farid Melgani,et al. Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[19] Adolfo Martínez Usó,et al. Clustering-Based Hyperspectral Band Selection Using Information Measures , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[20] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[21] Zhen Ji,et al. Band Selection for Hyperspectral Imagery Using Affinity Propagation , 2008, 2008 Digital Image Computing: Techniques and Applications.
[22] Lorenzo Bruzzone,et al. A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[23] Xin Liu,et al. Document clustering based on non-negative matrix factorization , 2003, SIGIR.
[24] Michael W. Berry,et al. Document clustering using nonnegative matrix factorization , 2006, Inf. Process. Manag..