Journal La Multiapp

Journal La Multiapp

Time Series Clustering Based on the K-Means Algorithm

Yazarlar: Oleg Kobylin, Vyacheslav Lyashenko

Cilt 1 , Sayı 3 , 2020 , Sayfalar 1-7

Konular:-

DOI:10.37899/journallamultiapp.v1i3.191

Anahtar Kelimeler:Clustering,Time Series,K-Means

Özet: Time series is one of the forms of data presentation that is used in many studies. It is convenient, easy and informative. Clustering is one of the tasks of data processing. Thus, the most relevant currently are methods for clustering time series. Clustering time series data aims to create clusters with high similarity within a cluster and low similarity between clusters. This work is devoted to clustering time series. Various methods of time series clustering are considered. Examples are given for real data.

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@article{2020, title={Time Series Clustering Based on the K-Means Algorithm}, volume={1}, number={1–7}, publisher={Journal La Multiapp}, author={Oleg Kobylin, Vyacheslav Lyashenko}, year={2020} }
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Oleg Kobylin, Vyacheslav Lyashenko. (2020). Time Series Clustering Based on the K-Means Algorithm (Vol. 1). Vol. 1. Journal La Multiapp.
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Oleg Kobylin, Vyacheslav Lyashenko. Time Series Clustering Based on the K-Means Algorithm. no. 1–7, Journal La Multiapp, 2020.
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