K-medoids
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High Quality Content by WIKIPEDIA articles! 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 algorithms are partitional (breaking the dataset up into groups) and both attempt to minimize squared error, the distance between points labeled to be in a cluster and a point designated as the center of that cluster. In contrast to the k-means algorithm k- medoids chooses datapoints as centers (medoids or exemplars).
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GarantieWeitere Informationen
- Allgemeine Informationen
- GTIN 09786130803599
- Editor Frederic P. Miller, Agnes F. Vandome, John McBrewster
- Genre Mathematik
- EAN 9786130803599
- Format Fachbuch
- Titel K-medoids
- Herausgeber Alphascript Publishing
- Anzahl Seiten 80
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