Clustering

Clustering with Bregman Divergences: an Asymptotic Analysis NeurIPS 2016 Communication-Optimal Distributed Clustering NeurIPS 2016 Community Detection on Evolving Graphs NeurIPS 2016 Compressive Spectral Clustering ICML 2016 Consistent Algorithms for Clustering Time Series JMLR 2016 Controlling the distance to a Kemeny consensus without computing it ICML 2016 Covariance-based Clustering in Multivariate and Functional Data Analysis JMLR 2016 Discriminatively Embedded K-Means for Multi-View Clustering CVPR 2016 Estimating the Size of a Large Network and its Communities from a Random Sample NeurIPS 2016 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NeurIPS 2016 Exploring Differential Topic Models for Comparative Summarization of Scientific Papers COLING 2016 Flexible Models for Microclustering with Application to Entity Resolution NeurIPS 2016 General Tensor Spectral Co-clustering for Higher-Order Data NeurIPS 2016 Graph Clustering: Block-models and model free results NeurIPS 2016 Graphons, mergeons, and so on! NeurIPS 2016 Hierarchical Clustering via Spreading Metrics NeurIPS 2016 Improved Error Bounds for Tree Representations of Metric Spaces NeurIPS 2016 Learning User Perceived Clusters with Feature-Level Supervision NeurIPS 2016 Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means JMLR 2016 New Resistance Distances with Global Information on Large Graphs AISTATS 2016 On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016 Predicting Restaurant Consumption Level through Social Media Footprints COLING 2016 Predicting sentential semantic compatibility for aggregation in text-to-text generation COLING 2016 Robust Spectral Detection of Global Structures in the Data by Learning a Regularization NeurIPS 2016 Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization COLING 2016