Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Cluster Dissection and Analysis Theory FORTRAN Programs Examples
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Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Resampling Method for Unsupervised Estimation of Cluster Validity
Neural Computation
The uniqueness of a good optimum for K-means
ICML '06 Proceedings of the 23rd international conference on Machine learning
Cluster Analysis for Data Mining and System Identification
Cluster Analysis for Data Mining and System Identification
Introduction to Clustering Large and High-Dimensional Data
Introduction to Clustering Large and High-Dimensional Data
Spectral clustering and its use in bioinformatics
Journal of Computational and Applied Mathematics
A Unified Framework for Detecting Groups and Application to Shape Recognition
Journal of Mathematical Imaging and Vision
Linear manifold clustering in high dimensional spaces by stochastic search
Pattern Recognition
A tutorial on spectral clustering
Statistics and Computing
Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
A Theory of Shape Identification
A Theory of Shape Identification
Spectral Curvature Clustering (SCC)
International Journal of Computer Vision
Bioinformatics
From Gestalt Theory to Image Analysis: A Probabilistic Approach
From Gestalt Theory to Image Analysis: A Probabilistic Approach
Data clustering: 50 years beyond K-means
Pattern Recognition Letters
Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications
Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications
DifFUZZY: a fuzzy clustering algorithm for complex datasets
International Journal of Computational Intelligence in Bioinformatics and Systems Biology
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Fuzzy c-means clustering of incomplete data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In this paper, we develop a family of data clustering algorithms that combine the strengths of existing spectral approaches to clustering with various desirable properties of fuzzy methods. In particular, we show that the developed method "Fuzzy-RW," outperforms other frequently used algorithms in data sets with different geometries. As applications, we discuss data clustering of biological and face recognition benchmarks such as the IRIS and YALE face data sets.