What is it about?
The clustering of Data using Self Organizing Map. It is generally used to group multivariate data into optimum number of clusters. The data may belong to any domain like medical, chemical, botanical, business, logistics, stock market, physical, or from healthcare and genetics.
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Why is it important?
Its application is Data clustering
Perspectives
The proposed application could be used to cluster the datasets of all domains.
Kshitij Tripathi
Read the Original
This page is a summary of: The novel hierarchical clustering approach using self‐organizing map with optimum dimension selection, Health Care Science, April 2024, Tsinghua University Press,
DOI: 10.1002/hcs2.90.
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