Clustering transformed compositional data usingK-means, with applications in gene expression and bicycle sharing system data

DOI10.1080/02664763.2018.1454894OpenAlexW3103651459MaRDI QIDQ5036483

No author found.

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1704.06150

zbMATH Keywords

clusteringcompositional data\(K\)-meansdata transformations

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items

Data adaptive functional outlier detection: analysis of the Paris bike sharing system data ⋮ A review of compositional data analysis and recent advances ⋮ coseq ⋮ A general bi-clustering algorithm for object data with an application to the analysis of a Lombardy railway line

Uses Software

• CAPUSHE
• recount
• clusfind
• capushe

Cites Work

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