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Clustering

3615 directly classified papers

Papers per year

Papers

On Mixtures of Markov Chains NIPS 2016
Estimating the Size of a Large Network and its Communities from a Random Sample NIPS 2016
Learning User Perceived Clusters with Feature-Level Supervision NIPS 2016
High-Rank Matrix Completion and Clustering under Self-Expressive Models NIPS 2016
General Tensor Spectral Co-clustering for Higher-Order Data NIPS 2016
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016
Fused Lasso Approach in Regression Coefficients Clustering -- Learning Parameter Heterogeneity in Data Integration JMLR 2016
Covariance-based Clustering in Multivariate and Functional Data Analysis JMLR 2016
Sorting out typicality with the inverse moment matrix SOS polynomial NIPS 2016
The Information-Theoretic Requirements of Subspace Clustering with Missing Data ICML 2016
Correlation Clustering and Biclustering with Locally Bounded Errors ICML 2016
Boolean Matrix Factorization and Noisy Completion via Message Passing ICML 2016
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016
Fast Constrained Submodular Maximization: Personalized Data Summarization ICML 2016
Distributed Clustering of Linear Bandits in Peer to Peer Networks ICML 2016
Exploring the value space of attributes: Unsupervised bidirectional clustering of adjectives in German COLING 2016
On collapsed representation of hierarchical Completely Random Measures ICML 2016
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means JMLR 2016
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery ICML 2016
Distributional Hypernym Generation by Jointly Learning Clusters and Projections COLING 2016
Minimum Density Hyperplanes JMLR 2016
Speeding up k-means by approximating Euclidean distances via block vectors ICML 2016
Clustering High Dimensional Categorical Data via Topographical Features ICML 2016
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization COLING 2016
Predicting sentential semantic compatibility for aggregation in text-to-text generation COLING 2016