Clustering

A Deep Learning Approach to Unsupervised Ensemble Learning ICML 2016 Adjusting for Chance Clustering Comparison Measures JMLR 2016 Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm NeurIPS 2016 A New Algorithm and Theory for Penalized Regression-based Clustering JMLR 2016 A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing COLING 2016 A Speaker Diarization System for Studying Peer-Led Team Learning Groups Interspeech 2016 bandicoot: a Python Toolbox for Mobile Phone Metadata JMLR 2016 Bayesian latent structure discovery from multi-neuron recordings NeurIPS 2016 Bipartite Correlation Clustering: Maximizing Agreements AISTATS 2016 Blind Speech Separation with GCC-NMF Interspeech 2016 Boolean Matrix Factorization and Noisy Completion via Message Passing ICML 2016 Closed-Form Training of Mahalanobis Distance for Supervised Clustering CVPR 2016 Clustering High Dimensional Categorical Data via Topographical Features ICML 2016 Clustering Signed Networks with the Geometric Mean of Laplacians NeurIPS 2016 Clustering with Bregman Divergences: an Asymptotic Analysis NeurIPS 2016 Clustering with Same-Cluster Queries NeurIPS 2016 Communication-Optimal Distributed Clustering NeurIPS 2016 Community Detection on Evolving Graphs NeurIPS 2016 Community Recovery in Graphs with Locality ICML 2016 Completely random measures for modelling block-structured sparse networks NeurIPS 2016 Compressive Spectral Clustering ICML 2016 Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making NeurIPS 2016 Consistency of Cheeger and Ratio Graph Cuts JMLR 2016 Consistent Algorithms for Clustering Time Series JMLR 2016 Correlation Clustering and Biclustering with Locally Bounded Errors ICML 2016