matlab - Bag of Words Classification Using KNN -


i have computed bag of words models training , testing images. have 260 bow vectors(100x1) training images , 282 bow vectors (100x1) testing images. classify test images using knn algorithm. however, don't know how use bow vectors.

i assume want use knn in decision process.

to able use knn, need calculate distance between 2 vectors. can use norm calculate distance. fortunately, matlab doing if have statistics , machine learning toolbox.

let x vector , each row of 1x100 bow vectors(transpose of them). , y vector assign class of each bow vector. instance, if want classify images whether includes bicycle or not, y must contain binary(if bicycle presented in image : 1 or otherwise: 0) information each histogram.

x = [ - ---- -- - -- -  first histogram;         y = [1;       - - - ---- -- --  second histogram;             0;        - ---- - ------  third histogram]              1]  mdl = fitcknn(x,y); %this model.

actually, don't know whether work or not bow, because use svm it. so, luck , please inform if worked or not.


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