منابع مشابه
A CLUE for CLUster Ensembles
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package ̃clue provides an extensible computational environment for creating and analyzing cluster ensembles, with basic data structures for representing partitions and hierarchies, and facilities for computing on these, including...
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Cluster ensembles combine multiple clusterings of a set of objects into a single consolidated clustering, often referred to as the consensus solution. Consensus clustering can be used to generate more robust and stable clustering results compared to a single clustering approach, perform distributed computing under privacy or sharing constraints, or reuse existing knowledge. This paper describes...
متن کاملA scalable framework for cluster ensembles
An ensemble of clustering solutions or partitions may be generated for a number of reasons. If the data set is very large, clustering may be done on tractable size disjoint subsets. The data may be distributed at different sites for which a distributed clustering solution with a final merging of partitions is a natural fit. In this paper, two new approaches to combining partitions, represented ...
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Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. We consider different heuristics to introduce diversity in cluster ensembles and study their individual and combined effect on the ensemble accuracy. Our experiments with three artificial and three real data sets, and 12 ensemble types, showed that the most successful...
متن کاملBayesian Cluster Ensembles
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of the basic cluster ensemble problem, notably including cluster ensembles with missing values, as well as row-distributed or column-distributed cluster ensembles. Existing cluster ensemble algorithms are applicable only to...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2005
ISSN: 1548-7660
DOI: 10.18637/jss.v014.i12