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
					
				

Return to main page