Time Series Clustering Based on the K-Means Algorithm

Journal La Multiapp

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Field Value
Title Time Series Clustering Based on the K-Means Algorithm
Creator Kobylin, Oleg
Lyashenko, Vyacheslav
Subject Clustering
Time Series
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
Peer-reviewed Article
Format application/pdf
Identifier http://www.newinera.com/index.php/JournalLaMultiapp/article/view/191
Source Journal La Multiapp; Vol. 1 No. 3 (2020): Journal La Multiapp; 1-7
Language eng
Relation http://www.newinera.com/index.php/JournalLaMultiapp/article/view/191/123
Rights Copyright (c) 2020 Journal La Multiapp

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