Examples of implementations of different distance measures. When I have some time I will elaborate on their usage.
#Simple matching coeficient def smc(sdr1, sdr2): n11 = (sdr1 & sdr2).count() n00 = (~sdr1 & ~sdr2).count() return float(n11+n00)/len(sdr1) def jiccard(sdr1,sdr2): n11 = (sdr1 & sdr2).count() n01_10 = (sdr1 ^ sdr2).count() return n11/float(n01_10+n11) def cosine_similarity(vector,matrix): sim = ( np.sum(vector*matrix,axis=1) / ( np.sqrt(np.sum(matrix**2,axis=1)) * np.sqrt(np.sum(vector**2)) ) )[::-1] return sim def euclidean_distance(vector, matrix): dist = np.sqrt(np.sum((vector - matrix)**2,axis=1)) #dist = np.linalg.norm(vector - matrix, axis=1) return dist
