Time Series Clustering Based on the K-Means Algorithm

Публікація:
Time Series Clustering Based on the K-Means Algorithm

dc.contributor.author	Kobylin, O.
dc.contributor.author	Lyashenko, V.
dc.date.accessioned	2021-07-03T13:05:38Z
dc.date.available	2021-07-03T13:05:38Z
dc.date.issued	2020
dc.description.abstract	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.	uk_UA
dc.identifier.citation	Kobylin O., Lyashenko V. Time Series Clustering Based on the K-Means Algorithm // Journal La Multiapp. – 2020. – Vol. 1(3). – P. 1-7.	uk_UA
dc.identifier.issn	2716-3865
dc.identifier.uri	https://openarchive.nure.ua/handle/document/16759
dc.language.iso	en	uk_UA
dc.publisher	Journal La Multiapp	uk_UA
dc.subject	Clustering	uk_UA
dc.subject	Time Series	uk_UA
dc.title	Time Series Clustering Based on the K-Means Algorithm	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication