منابع مشابه
Bayesian consensus clustering
MOTIVATION In biomedical research a growing number of platforms and technologies are used to measure diverse but related information, and the task of clustering a set of objects based on multiple sources of data arises in several applications. Most current approaches to multisource clustering either independently determine a separate clustering for each data source or determine a single 'joint'...
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The increasingly larger scale of available data and the more restrictive concerns on their privacy are some of the challenging aspects of data mining today. In this paper, Entropy-based Consensus on Cluster Centers (EC3) is introduced for clustering in distributed systems with a consideration for confidentiality of data; i.e. it is the negotiations among local cluster centers that are used in t...
متن کاملConsensus Clustering + Meta Clustering = Multiple Consensus Clustering
Consensus clustering and meta clustering are two important extensions of the classical clustering problem. Given a set of input clusterings of a given dataset, consensus clustering aims to find a single final clustering which is a better fit in some sense than the existing clusterings, and meta clustering aims to group similar input clusterings together so that users only need to examine a smal...
متن کاملWeighted Consensus Clustering
Consensus clustering has emerged as an important extension of the classical clustering problem. We propose weighted consensus clustering, where each input clustering is weighted and the weights are determined in such a way that the final consensus clustering provides a better quality solution, in which clusters are better separated comparing to standard consensus clustering. Theoretically, we s...
متن کاملStochastic Consensus Clustering
The clustering method described in this paper is meant to aid the researcher who, for any of a variety of reasons, has clustered a data set a large number of times and is now faced with the problem of reconciling many different clustering results into a single, robust clustering solution. In this paper a clustering method is developed that takes the results of these many data clusterings, prope...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2013
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btt425