Consensus clustering

Clustering is the assignment of objects into groups (called clusters) so that objects from the same cluster are more similar to each other than…

Papers overview

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2018

Software defect prediction becomes an active research topic in recent years and receives lots of attention. Many researches focus…

2018

Cluster ensemble has emerged as a powerful technique for combining multiple clustering results. However, existing cluster…

2014

Ensemble clustering or cluster ensembles have been shown to be better than any standard clustering algorithm at improving…

2013

We develop a consensus clustering framework developed three decades ago in Russia and experimentally demonstrate that our least…

2009

Discovering interesting, implicit knowledge and general relationships in geographic information databases is very important to…

Review

2008

Review

2008

In this paper, we use survey data to analyze the rationality of professional macroeconomic forecasts. We analyze both individual…

2004

Meaningfully integrating massive multi-experimental genomic data sets is becoming critical for the understanding of gene function…

2003

We recently introduced the idea of solving cluster ensembles using a Weighted Shared nearest neighbors Graph (WSnnG). Preliminary…

1992

A regression method is proposed to combine decisions of multiple character recognition algorithms. The method computes a weighted…

1990

This paper presents a word shape analysis approach for word recognition that is independent of character segmentation. The…