LABELD

Find labels of classification dataset (perform crisp classification)

    LABELS = LABELD(Z)
    LABELS = Z*LABELD
    LABELS = LABELD(A,W)
    LABELS = A*W*LABELD
    LABELS = LABELD(Z,THRESH)
    LABELS = Z*LABELD([],THRESH)
    LABELS = LABELD(A,W,THRESH)
    LABELS = A*W*LABELD([],THRESH)

Input
Z	Classification dataset, or
A,W	Dataset and classifier mapping
THRESH	Rejection threshold

Output
LABELS	List of labels

Description

Returns the labels of the classification dataset Z (typically the result  of a mapping or classification A*W). For each object in Z (i.e. each row)  the feature label or class label (i.e. the column label) of the maximum  column value is returned.

Effectively, this performs the classification. It can also be considered  as a conversion from soft labels Z to crisp labels.

When the parameter THRESH is supplied, then all objects which  classifier output falls below this value are rejected. The returned  label is then NaN or a string with spaces (depending if the labels are  numeric or string). Because the output of the classifier is used, it  is recommended to convert the output to a posterior prob. output using

CLASSC.

(David Tax, 27-12-2004)

 SEE   MAPPINGS, DATASETS, TESTC, PLOTC