Time Series Clustering Based on the K-Means Algorithm

Journal La Multiapp

View Publication Info
 
 
Field Value
 
Title Time Series Clustering Based on the K-Means Algorithm
 
Creator Kobylin, Oleg
Lyashenko, Vyacheslav
 
Subject Clustering
Time Series
K-Means
 
Description 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.
 
Publisher Newinera Publisher
 
Date 2020-12-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.newinera.com/index.php/JournalLaMultiapp/article/view/191
10.37899/journallamultiapp.v1i3.191
 
Source Journal La Multiapp; Vol. 1 No. 3 (2020): Journal La Multiapp; 1-7
2721-1290
2716-3865
 
Language eng
 
Relation http://www.newinera.com/index.php/JournalLaMultiapp/article/view/191/123
 
Rights Copyright (c) 2020 Journal La Multiapp
https://creativecommons.org/licenses/by-sa/4.0/
 

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