Novel Automated K-means++ Algorithm for Financial Data Sets

The K-means algorithm has been extensively investigated in the field of text clustering because of its linear time complexity and adaptation to sparse matrix data. However, it has two main problems, namely, the determination of the number of clusters and the location of the initial cluster centres....

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Veröffentlicht in:	Mathematical problems in engineering 2021, Vol.2021, p.1-12
Hauptverfasser:	Du, Guoyu, Li, Xuehua, Zhang, Lanjie, Liu, Libo, Zhao, Chaohua
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Datasets Engineering Mathematical analysis Matrix methods Methods Noise Run time (computers) Sparse matrices Statistical analysis
Online-Zugang:	Volltext
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