Spectral clustering and semi-supervised learning using evolving similarity graphs
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[1] O. Bousquet,et al. Kernel methods and their potential use in signal processing , 2004, IEEE Signal Processing Magazine.
[2] K. Dejong,et al. An analysis of the behavior of a class of genetic adaptive systems , 1975 .
[3] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[4] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[5] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[6] J. Munkres. ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .
[7] John C. Wooley,et al. Ultrafast clustering algorithms for metagenomic sequence analysis , 2012, Briefings Bioinform..
[8] Michael Elad,et al. Probabilistic Subspace Clustering Via Sparse Representations , 2013, IEEE Signal Processing Letters.
[9] Israel Cohen,et al. Voice Activity Detection in Presence of Transient Noise Using Spectral Clustering , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[10] Michael I. Jordan,et al. Learning Spectral Clustering, With Application To Speech Separation , 2006, J. Mach. Learn. Res..
[11] T. Caliński,et al. A dendrite method for cluster analysis , 1974 .
[12] L. Zhou,et al. Synchronization of separation and determination based on multichannel mode-filtered light detection with capillary electrophoresis. , 2001, The Analyst.
[13] Zengyou He,et al. k-ANMI: A mutual information based clustering algorithm for categorical data , 2005, Inf. Fusion.
[14] Kenneth Alan De Jong,et al. An analysis of the behavior of a class of genetic adaptive systems. , 1975 .
[15] Ricardo J. G. B. Campello,et al. On the Comparison of Relative Clustering Validity Criteria , 2009, SDM.
[16] Satu Elisa Schaeffer,et al. Graph Clustering , 2017, Encyclopedia of Machine Learning and Data Mining.
[17] G. Karypis,et al. Criterion functions for document clustering , 2005 .
[18] Michael I. Jordan,et al. Learning Spectral Clustering , 2003, NIPS.
[19] Anil K. Jain. Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..
[20] Charu C. Aggarwal,et al. Data Clustering , 2013 .
[21] Satyam Maheswari,et al. Survey of Recent Clustering Techniques in Data Mining , 2012 .
[22] S. Sathiya Keerthi,et al. Large scale semi-supervised linear SVMs , 2006, SIGIR.
[23] Hinrich Schütze,et al. Introduction to information retrieval , 2008 .
[24] C. A. Murthy,et al. In search of optimal clusters using genetic algorithms , 1996, Pattern Recognit. Lett..
[25] Ujjwal Maulik,et al. Genetic algorithm-based clustering technique , 2000, Pattern Recognit..
[26] J. Dunn. Well-Separated Clusters and Optimal Fuzzy Partitions , 1974 .
[27] Jesmin F. Khan,et al. Image Segmentation and Shape Analysis for Road-Sign Detection , 2011, IEEE Transactions on Intelligent Transportation Systems.
[28] Anastasios Tefas,et al. Feature Comparison and Feature Fusion for Traditional Dances Recognition , 2013, EANN.
[29] Xavier Anguera Miró,et al. Speed improvements to Information Retrieval-based dynamic time warping using hierarchical K-Means clustering , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[30] Nizar Grira,et al. Unsupervised and Semi-supervised Clustering : a Brief Survey ∗ , 2004 .
[31] Langis Gagnon,et al. Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques , 2007, Fourth Canadian Conference on Computer and Robot Vision (CRV '07).
[32] Srinivasan Parthasarathy,et al. Identifying functional modules in interaction networks through overlapping Markov clustering , 2012, Bioinform..
[33] Javier Del Ser,et al. A new grouping genetic algorithm for clustering problems , 2012, Expert Syst. Appl..
[34] Ali Peiravi,et al. An optimal energy‐efficient clustering method in wireless sensor networks using multi‐objective genetic algorithm , 2013, Int. J. Commun. Syst..
[35] Xiaojin Zhu,et al. Introduction to Semi-Supervised Learning , 2009, Synthesis Lectures on Artificial Intelligence and Machine Learning.
[36] Alex Alves Freitas,et al. A Survey of Evolutionary Algorithms for Clustering , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[37] D. Saravanan,et al. A Proposed New Algorithm for Hierarchical Clustering Suitable for Video Data Mining , 2011 .
[38] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[39] G. Karypis,et al. Criterion Functions for Document Clustering ∗ Experiments and Analysis , 2001 .
[40] Alexandros Iosifidis,et al. Minimum Class Variance Extreme Learning Machine for Human Action Recognition , 2013, IEEE Transactions on Circuits and Systems for Video Technology.
[41] Cordelia Schmid,et al. Multimodal semi-supervised learning for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[42] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[43] Wei Liu,et al. Semi-supervised distance metric learning for collaborative image retrieval and clustering , 2010, ACM Trans. Multim. Comput. Commun. Appl..
[44] Benno Stein,et al. On Cluster Validity and the Information Need of Users , 2003 .
[45] Donald W. Bouldin,et al. A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[47] Wei Liu,et al. Semi-supervised distance metric learning for Collaborative Image Retrieval , 2008, CVPR.
[48] David Corne,et al. Evolutionary Computation In Bioinformatics , 2003 .
[49] Maria-Florina Balcan,et al. Person Identification in Webcam Images: An Application of Semi-Supervised Learning , 2005 .