This module is used to identified clusters of related groups of samples and variables.
Hierarchical
This module is used to carry out hierarchical cluster analysis (HCA) on samples and variables. HCA distance and agglomeration methods can be used to organize the input based on similarity and identify clusters of closely related samples or variables based on the raw data or correlations.
Calculate
Use the nodes menue to specify if samples or variables will be clustered. You can additionally specify row and column group(s) and labels to enrich the plot and explore visualizations.
The methods menue is used to specify a correlation method, set HCA distance and linkage methods and select the number of clusters.
View clustering results and sample and/or variable cluster groupings.
