The Border K-Means Clustering Algorithm for One Dimensional Data

Clustering has been widely used for data pre-processing, mining, and analysis. The k-means clustering algorithm is commonly used because of its simplicity and flexibility to work in many real-life applications and services. Despite being commonly used, the k-means algorithm suffers from non-determin...

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Vydané v:	International Conference on Big Data and Smart Computing s. 35 - 42
Hlavní autori:	Froese, Ryan, Klassen, James W., Leung, Carson K., Loewen, Tyler S.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.01.2022
Predmet:	Big data cluster analysis clustering Clustering algorithms Conferences data analysis data mining Data visualization Earth k-means algorithm machine learning Runtime smart computing Visual analytics
ISSN:	2375-9356
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