2.The use of the K -means and the K -nearest neighbor heuristic in estimating the elliptical basis function(EBF)parameters may produce sub-optimal performance when the input vectors contain correlated components.
4.Four different feature selection methods are discussed,including Document Frequency(DF),Mutual Information(MI),X2 test(CHI),Correlation Coefficient(CC),and the correction of text categorization is compared using the algorithm of Knearestneighbor.