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Clustering

756 papers

Papers per year

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Papers

Spectral Clustering Based on Local PCA JMLR 2017
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques JMLR 2017
Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis JMLR 2017
Quantifying the Informativeness of Similarity Measurements JMLR 2017
The Impact of Random Models on Clustering Similarity JMLR 2017
Community Extraction in Multilayer Networks with Heterogeneous Community Structure JMLR 2017
Graph Clustering: Block-models and model free results NIPS 2016
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization NIPS 2016
Hierarchical Clustering via Spreading Metrics NIPS 2016
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NIPS 2016
Flexible Models for Microclustering with Application to Entity Resolution NIPS 2016
Communication-Optimal Distributed Clustering NIPS 2016
Clustering Signed Networks with the Geometric Mean of Laplacians NIPS 2016
Community Detection on Evolving Graphs 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
Graphons, mergeons, and so on! NIPS 2016
Improved Error Bounds for Tree Representations of Metric Spaces NIPS 2016
Clustering with Bregman Divergences: an Asymptotic Analysis NIPS 2016
General Tensor Spectral Co-clustering for Higher-Order Data NIPS 2016
New Resistance Distances with Global Information on Large Graphs AISTATS 2016
Exploring Differential Topic Models for Comparative Summarization of Scientific Papers COLING 2016
Predicting sentential semantic compatibility for aggregation in text-to-text generation COLING 2016
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization COLING 2016
Predicting Restaurant Consumption Level through Social Media Footprints COLING 2016