A New Measure for Clustering Model Selection: Automatic Detection of the Number of Clusters in a Data Set - Couverture souple

McCrosky, Jesse

 
9783838323978: A New Measure for Clustering Model Selection: Automatic Detection of the Number of Clusters in a Data Set

Synopsis

Typical k-means clustering procedures require a priori knowledge of the number of clusters in the data set. This value can be very difficult to ascertain. Existing heuristic methods work in some cases, but are rarely very reliable. Herein, a new method for determining the number of k-means clusters in a given data set is presented. The algorithm is developed from its theoretical basis and its implementation is examined and compared to existing solutions.

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Présentation de l'éditeur

Typical k-means clustering procedures require a priori knowledge of the number of clusters in the data set. This value can be very difficult to ascertain. Existing heuristic methods work in some cases, but are rarely very reliable. Herein, a new method for determining the number of k-means clusters in a given data set is presented. The algorithm is developed from its theoretical basis and its implementation is examined and compared to existing solutions.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.