MetChem (version 0.5)

tree.cutting: Optimal cluster number calculation.

Description

This function helps to estimate the optimal cluster number that fit the metabolites dataset. It applies different optimal cluster number calculating algorithms to cut clutering tree of hclust function. and return a list contains index corresponding to each cluster number.

Usage

tree.cutting (res,max_nc=20)

Value

A list contains the calculation for each clustering of Rousseeuw's Silhouette index.

Arguments

res

A list produced by KODAMA.chem.sim function.

max_nc

The maximum number of cluster (default = 20).

See Also

KODAMA.chem.sim, WMCSA

Examples

# \donttest{
data(Metabolites)

res=KODAMA.chem.sim(Metabolites$SMILES)
clu=tree.cutting(res,max_nc = 30)
plot(clu$min_nc:clu$max_nc,clu$res.S)

# }