CLUSTLCURVE

Learning curve from multilevel clustering for active learning

   E = CLUSTLCURVE(LABC,LABT)
   E = CLUSTLCURVE(LABC,A)
   E = LABC*CLUSTLCURVE(LABT)
   E = LABC*CLUSTLCURVE(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.  Default: true labels used in some other routine.
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 CLUSTCERR 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.

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;
 clustlcurve(labc,dset)

See also

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