Empirical Risk Approximation: An Induction Principle for Unsupervised Learning

Style machines

Proceedings of the 27th annual conference on Computer graphics and interactive techniques

Error bounds for correlation clustering

ICML '05 Proceedings of the 22nd international conference on Machine learning

Resolution-Based Complexity Control for Gaussian Mixture Models

Neural Computation

A framework for statistical clustering with constant time approximation algorithms for K-median and K-means clustering

Machine Learning

Optimality and stability of the K-hyperline clustering algorithm

Pattern Recognition Letters