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K-medoids

Known as: K-medoid, PAM, Partitioning Around Medoids 
The k-medoids algorithm is a clustering algorithm related to the k-means algorithm and the medoidshift algorithm. Both the k-means and k-medoids… 
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Related topics

Related topics

15 relations
Affinity propagationAlgorithmCluster analysisData stream clustering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Graphically Representing Child-Robot Interaction Proxemics
This paper discusses the current analysis of a large set of child-robot interaction experiments, in which a 2–4 year old child… 
2014
2014
Veri Madenciliğinde Kümeleme Teknikleri Üzerine Bir Çalışma: K-Means ve K-Medoids Kümeleme Algoritmalarının Karşılaştırılması
Gunumuzde bilisim alanindaki gelismeler sayesinde kullanicilar daha gelismis bilgisayar teknolojilerine hakim olmaktadir ve bu… 
2013
2013
K-Medoids Clustering Technique using Bat Algorithm
Clustering is one of the data analysis methods that are widely used in data mining. In this method, we partitioned the data into… 
2013
2013
Using Modified Partitioning Around Medoids Clustering Technique in Mobile Network Planning
Optimization mobile radio network planning is a very complex task, as many aspects must be taken into account. Deciding upon the… 
2012
2012
Modeling topic trends on the social web using temporal signatures
The Social Web makes visible the ebb and flow of popular interest in topics both newsworthy ("GulfSpill") and trivial ("Lolcat… 
2011
2011
Using Hyper Clustering Algorithms in Mobile Network Planning
Problem statement: As a large amount of data stored in spatial databases, people may like to find groups of data which share… 
2010
2010
A novel approach for clustering Chinese blogs by embedded sentiment based on graph similarity
Blog clustering is an important approach of web public opinion analysis. In this paper, an integrated graph-based approach for… 
2010
2010
Efficient K-medoids clustering algorithm
Due to the disadvantages of sensitivity to the initial selection of the medoids and poor performance in large data set processing… 
2008
2008
Employing Clustering Techniques in Mobile Network Planning
Network planning is of key importance during the construction of new communities and cities, in which telephone and data services… 
2008
2008
Particle Swarm Optimised polynomial neural network for classification: a multi-objective view
Classification using a Polynomial Neural Network (PNN) can be considered as a multi-objective problem rather than as a single…