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Clustering

3,638 papers

Papers per year

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Papers

Community Detection on Evolving Graphs NIPS 2016
On Mixtures of Markov Chains NIPS 2016
Estimating the Size of a Large Network and its Communities from a Random Sample NIPS 2016
Nested Mini-Batch K-Means NIPS 2016
Clustering with Same-Cluster Queries NIPS 2016
Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making NIPS 2016
Learning User Perceived Clusters with Feature-Level Supervision NIPS 2016
High-Rank Matrix Completion and Clustering under Self-Expressive Models NIPS 2016
Geometric Dirichlet Means Algorithm for topic inference NIPS 2016
Learning Deep Parsimonious Representations NIPS 2016
Graphons, mergeons, and so on! NIPS 2016
Optimal Cluster Recovery in the Labeled Stochastic Block Model NIPS 2016
Statistical Inference for Cluster Trees NIPS 2016
Improved Error Bounds for Tree Representations of Metric Spaces NIPS 2016
On Robustness of Kernel Clustering NIPS 2016
Clustering with Bregman Divergences: an Asymptotic Analysis NIPS 2016
The Product Cut NIPS 2016
Fast and Provably Good Seedings for k-Means NIPS 2016
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm NIPS 2016
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data NIPS 2016
General Tensor Spectral Co-clustering for Higher-Order Data NIPS 2016
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures AISTATS 2016
Bipartite Correlation Clustering: Maximizing Agreements AISTATS 2016
CRAFT: ClusteR-specific Assorted Feature selecTion AISTATS 2016
Simple and Scalable Constrained Clustering: a Generalized Spectral Method AISTATS 2016