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Medoid

Known as: Medoids 
Medoids are representative objects of a data set or a cluster with a data set whose average dissimilarity to all the objects in the cluster is… Expand
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Papers overview

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Highly Cited
2010
Highly Cited
2010
Problem statement: Clustering is one of the most important research ar eas in the field of data mining. Clustering means creating… Expand
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Highly Cited
2009
Highly Cited
2009
This paper proposes a new algorithm for K-medoids clustering which runs like the K-means algorithm and tests several methods for… Expand
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Highly Cited
2008
Highly Cited
2008
Uncertain data are usually represented in terms of an uncertainty region over which a probability density function (pdf) is… Expand
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Highly Cited
2006
Highly Cited
2006
Previous research has resulted in a number of different algorithms for rule discovery. Two approaches discussed here, the ‘all… Expand
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Highly Cited
2006
Highly Cited
2006
We propose a hybrid genetic algorithm for k-medoids clustering. A novel heuristic operator is designed and integrated with the… Expand
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Highly Cited
2003
Highly Cited
2003
Kaufman and Rousseeuw (1990) proposed a clustering algorithm Partitioning Around Medoids (PAM) which maps a distance matrix into… Expand
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Highly Cited
1999
Highly Cited
1999
This paper presents new algorithms (fuzzy e-methods (FCMdd) and fuzzy c trimmed medoids (FCTMdd)) for fuzzy clustering of… Expand
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Highly Cited
1995
Highly Cited
1995
Both, the number and the size of spatial databases are rapidly growing because of the large amount of data obtained from… Expand
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Highly Cited
1991
Highly Cited
1991
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort… Expand
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Highly Cited
1987
Highly Cited
1987
 
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