# Medoid

## Papers overview

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2013

2013

- 5th International Conference on Information andâ€¦
- 2013

This paper presents an approach for paralleling K-medoid clustering algorithm. The K-medoid algorithm will be divided into tasksâ€¦Â (More)

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2011

2011

- Expert Syst. Appl.
- 2011

This paper proposes new variance enhanced clustering methods to improve the popular K-medoid algorithm by adapting varianceâ€¦Â (More)

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2010

Highly Cited

2010

- 2010

Problem statement: Clustering is one of the most important research ar eas in the field of data mining. Clustering means creatingâ€¦Â (More)

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2009

Highly Cited

2009

- Expert Syst. Appl.
- 2009

This paper proposes a new algorithm for K-medoids clustering which runs like the K-means algorithm and tests several methods forâ€¦Â (More)

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2008

Highly Cited

2008

- ECCV
- 2008

We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N), with a smallâ€¦Â (More)

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2007

2007

- SSTD
- 2007

In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizesâ€¦Â (More)

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2006

2006

- SAC
- 2006

In this paper, we propose a video summarization algorithm by multiple extractions of key frames in each shot. This algorithm isâ€¦Â (More)

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2005

2005

- SSTD
- 2005

Assume that a franchise plans to open k branches in a city, so that the average distance from each residential block to theâ€¦Â (More)

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2005

2005

- SSDBM
- 2005

Modern geographic information systems do not only have to handle static information but also dynamically moving objectsâ€¦Â (More)

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1999

Highly Cited

1999

- FUZZ-IEEE'99. IEEE International Fuzzy Systemsâ€¦
- 1999

This paper presents new algorithms (fuzzy e-methods (FCMdd) and fuzzy c trimmed medoids (FCTMdd)) for fuzzy clustering ofâ€¦Â (More)

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