/hierarchical_clustering_stability

Primary LanguagePython

hierarchical_clustering_stability

Dataset: https://research.nhgri.nih.gov/microarray/Supplement/

Methodology: https://cran.r-project.org/web/packages/dendextend/vignettes/Cluster_Analysis.html#khan---microarray-gene-expression-data-set-from-khan-et-al.-2001.-subset-of-306-genes.

Tree Distance Metric: normalized Robinson-Foulds distance

Compared Method: Classical Hierarchical Clustering with two different metrics, Info-Clustering with a given metric, a third party method supporting data clustering.

Steps

The dataset

train.csv and test.csv are extracted from the data structure of dendextend::khan$train and dendextend::khan$test of the package dendextend, belonging to R programming language.