An Improved K-Means Algorithm Based on Initial Clustering Center Optimization

The K-means algorithm is widely known for its simplicity and fastness in text clustering. However, the selection of the initial clus-tering center with the traditional K-means algorithm is some random, and therefore, the fluctuations and instability of the cluster-ing results are strongly affected b...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	中兴通讯技术（英文版） 2017, Vol.15 (z2), p.43-46
Hauptverfasser:	LI Taihao, NAREN Tuya, ZHOU Jianshe, REN Fuji, LIU Shupeng
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!