A Two-Round Variant of EM for Gaussian Mixtures

An Efficient k-Means Clustering Algorithm: Analysis and Implementation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Performance Guarantees for Hierarchical Clustering

COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory

A spectral algorithm for learning mixture models

Journal of Computer and System Sciences - Special issue on FOCS 2002

On Learning Mixtures of Heavy-Tailed Distributions

FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science

Learning mixtures of product distributions over discrete domains

FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science

An investigation of computational and informational limits in Gaussian mixture clustering

ICML '06 Proceedings of the 23rd international conference on Machine learning

Hierarchical mixture models: a probabilistic analysis

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

Spectral clustering with limited independence

SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms

Robust PCA and clustering in noisy mixtures

SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms

Multi-view clustering via canonical correlation analysis

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Spectral Algorithms

Foundations and Trends® in Theoretical Computer Science

Learning mixture models via component-wise parameter smoothing

Computational Statistics & Data Analysis

SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters

Knowledge and Information Systems

Task-level imitation learning using variance-based movement optimization

ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation

Analyzing knowledge communities using foreground and background clusters

ACM Transactions on Knowledge Discovery from Data (TKDD)

Are there local maxima in the infinite-sample likelihood of Gaussian mixture estimation?

COLT'07 Proceedings of the 20th annual conference on Learning theory

Separating populations with wide data: a spectral analysis

ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation

Efficiently learning mixtures of two Gaussians

Proceedings of the forty-second ACM symposium on Theory of computing

PAC learning axis-aligned mixtures of gaussians with no separation assumption

COLT'06 Proceedings of the 19th annual conference on Learning Theory