MCLUSTLCURVE

Compute learning from multilevel clustering classification

   E = MCLUSTLCURVE(LABC,LABT)
   E = MCLUSTLCURVE(LABC,A)
   E = LABC*MCLUSTLCURVE(LABT)
   E = LABC*MCLUSTLCURVE(A)

Input
LABC	Index array, size [M,K], indices of cluster prototypes for M objects in K clusterings.
LABT	Vector of M elements with true object labels.
A	PRTools labeled dataset used for the clustering.

Output
E	Structure with classification error and numbers of labeled  objects, ready to plot by PLOTE

Description

This routines calls MCLUSTCERR to create a learning curve ready to be  plot by PLOTE. This learning curve evaluates active learning in which  objects are assigned to the class of cluster prototypes after combining  the multilevel clustering.

If no output (E) is requested CLUSTLCURVE calls PLOTE internally and  thereby produces automatically a figure with a learning curve.

Example(s)

 dset = gendatm(30000);
 labc = dset*clustm;
 mclustlcurve(labc,dset)

See also

datasets, mappings, knnc, cluste, clusth, clustk, clustkh, clustm, clustf, clustr, dcluste, dclustf, dclusth, dclustk, dclustm, dclustr, clusteval, clustc, clustnum, mclustcerr, plote,