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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… 
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Related topics

Related topics

6 relations

Broader (1)

Cluster analysis
Computer scienceGeometric medianK-medians clusteringK-medoids

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
BAT-CLARA: BAT-inspired algorithm for Clustering LARge Applications
2016
2016
Weighted multi-view key-frame extraction
Review
2014
Review
2014
Looking for representative fit models for apparel sizing
2012
2012
Granular Mining and Rough-Fuzzy Pattern Recognition: A Way to Natural Computation
Rough-fuzzy granular approach in natural computing framework is considered. The concept of rough set theoretic knowledge encoding… 
2011
2011
Document clustering using synthetic cluster prototypes
2009
2009
Metric-based stochastic conceptual clustering for ontologies
2008
2008
Continuous k-Means Monitoring over Moving Objects
Given a data set P, a k-means query returns k points in space (called centers), such that the average squared distance between… 
2007
2007
Geodesic Distance Based Fuzzy Clustering
Clustering is a widely applied tool of data mining to detect the hidden structure of complex multivariate datasets. Hence… 
2005
2005
Symbolic classification, clustering and fuzzy radial basis function network
2005
2005
Using the KL-center for efficient and accurate retrieval of distributions arising from texture images
Image retrieval is a common problem in many computer vision applications and the literature abounds with techniques with… 
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