ROCCHIO_MULTI - Rocchio classifier for multi-label collections
LABELS_AS=KNN_MULTI(A, CLUSTERS, BETA, GAMMA, Q, LABELS,
NORMALIZED_DOCS, THRESHOLDS) classifies the columns of Q
with the Rocchio classifier using the pre-classified columns
of matrix A with labels LABELS (vector of integers).
THRESHOLDS is a vector of class threshold values. BETA and
GAMMA define the weight of positive and negative examples in
the formation of each class centroid. NORMALIZED_DOCS defines
if cosine (1) or euclidean distance (0) similarity measure is
to be used. LABELS_AS contains the assigned labels for the
columns of Q.
Copyright 2011 Dimitrios Zeimpekis, Eugenia Maria Kontopoulou,
Efstratios Gallopoulos