spectral clustering

Noise Thresholds for Spectral Clustering NeurIPS 2011 Operator Norm Convergence of Spectral Clustering on Level Sets JMLR 2011 Sparse Manifold Clustering and Embedding NeurIPS 2011 Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011 Spectral Clustering on a Budget AISTATS 2011 An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA NeurIPS 2010 Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering ACML 2010 On Learning with Integral Operators JMLR 2010 Optimal Scoring for Unsupervised Learning NeurIPS 2009 The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 Cyclizing Clusters via Zeta Function of a Graph NeurIPS 2008 Influence of graph construction on graph-based clustering measures NeurIPS 2008 Learning Taxonomies by Dependence Maximization NeurIPS 2008 Regularized Co-Clustering with Dual Supervision NeurIPS 2008 Spectral Clustering with Perturbed Data NeurIPS 2008 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Fast Iterative Kernel Principal Component Analysis JMLR 2007 Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007 On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007 Convergence of Laplacian Eigenmaps NeurIPS 2006 Doubly Stochastic Normalization for Spectral Clustering NeurIPS 2006 Fast Iterative Kernel PCA NeurIPS 2006 Fundamental Limitations of Spectral Clustering NeurIPS 2006 Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NeurIPS 2006 Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm NeurIPS 2006