Cluster center initialization algorithm for K-means clustering

By Shehroz S. Khan, Amir Ahmad. Pattern Recognition Letters, 2004

736 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/a4b86047dd096ac5a80ea575dfb5208793418bd4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Lipika Dey
2. Amir Ahmad
3. Catherine Arnaud
4. Christophe Genolini
5. M. Sentenac
6. X. Alacoque

In Computer Vision and Pattern Recognition

1. Lipika Dey
2. Amir Ahmad

Citations in the corpus

• A k-mean clustering algorithm for mixed numeric and categorical data (2007, methodology): “A. Ahmad, L. Dey / Data & Knowledge Engineering 63 (2007) 503–527 515 cluster.”
• kml and kml3d: R Packages to Cluster Longitudinal Data (2015, background): “Some authors have therefore proposed various initialization methods (Pena, Lozano, and Larranaga 1999; Khan and Ahmad 2004; Redmond and Heneghan 2007; Steinley and Brusco 2007).”