Supervised clustering with support vector machines

Objective Criteria for the Evaluation of Clustering Methods

1971 • 5,582 citations

Constrained K-means Clustering with Background Knowledge

2001 • 2,354 citations

Learning the Kernel Matrix with Semidefinite Programming

2004 • 2,032 citations

Max-Margin Markov Networks

2003 • 1,304 citations

Support vector machine learning for interdependent and structured output spaces

2004 • 1,280 citations

Efficient clustering of high-dimensional data sets with application to reference matching

2000 • 1,086 citations

A Machine Learning Approach to Coreference Resolution of Noun Phrases

2001 • 1,013 citations

Integrating constraints and metric learning in semi-supervised clustering

2004 • 842 citations

A probabilistic framework for semi-supervised clustering

2004 • 825 citations

Improving machine learning approaches to coreference resolution

2001 • 709 citations

A model-theoretic coreference scoring scheme

1995 • 685 citations

Correlation Clustering

2009 • 287 citations

Learning associative Markov networks

2004 • 182 citations

Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference

2003 • 152 citations

Correlation Clustering: maximizing agreements via semidefinite programming

2004 • 143 citations

On the merits of building categorization systems by supervised clustering

1999 • 121 citations

Correlation Clustering with Partial Information

2003 • 118 citations

Learning to Match and Cluster Entity Names

2001 • 57 citations

Learning to Align Sequences: A Maximum-Margin Approach

2006 • 43 citations

Efficiently Learning the Metric with Side-Information

2003 • 31 citations

Untitled

2003 • 22 citations