classFuzzify
Initialize fuzzy membership grades for a dataset
Contents
Syntax
- fuzzyClass = classFuzzify(DS, k)
Description
fuzzyClass = classFuzzify(DS, k) returns the fuzzy membership grades of each sample data point:
- DS: dataset
- k: the no. of nearest neighbors used for computing the membership grades.
References
- J. M. Keller, M. R. Gray, and J. A. Givens, Jr., "A Fuzzy K-Nearest Neighbor Algorithm", IEEE Transactions on Systems, Man, and Cybernetics, Vol. 15, No. 4, pp. 580-585, 1985.
Example
DS=prData('3classes'); dsScatterPlot(DS); line([0 1], [0 1], 'linestyle', ':'); % Plot boundary line([0.5 1], [0.5 0], 'linestyle', ':'); % Plot boundary k=5; fuzzyClass = classFuzzify(DS, k); index=find(sum(fuzzyClass.^0.5)~=1); line(DS.input(1,index), DS.input(2,index), 'linestyle', 'none', 'marker', 'o', 'color', 'k'); title('Circled data points have fuzzy membership grades.');
