computer vision - Applying K-Means to HOG-Descriptors -


i've extracted hog-descriptors using dlib , stored them in array of 2 dimensional arrays. now, want cluster descriptors using k-means.

how 1 perform such clustering? can think of 2 ways implement it:

  1. performing clustering line-wise. hence, 2 dimensional array separately.

  2. performing clustering lines @ once.

dlib contains program, imglab (in tools/imglab folder) has --cluster option. option k-means clustering on hog images. using angular distance metric particularly effective clustering hog vectors. more usual euclidean k-means.

so recommend using angular distance metric. can refer above tool/dlib specifics.


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