Exploratory analysis on the performance of K-means, Kmeans.fd and K-median in clustering contaminated PM10 functional data
The ultimate goal of clustering analysis is to group observations into clusters where there is maximum similarity within a cluster and dissimilarity between clusters. Due to its effectiveness and simplicity, the K-mean has been one of the most used methods for grouping multivariate data. However, th...
| Published in: | AIP Conference Proceedings |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
American Institute of Physics
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203193589&doi=10.1063%2f5.0224189&partnerID=40&md5=04ff800bb2b432b15da598e560f841d3 |