tejasv58 / fuzzy-c-means-from-scratch Goto Github PK

def updateWeights(weight_arr, C):
        denom = np.zeros(n)
        for i in range(n_clusters):
            
            dist = (X.iloc[:,:].values - centers[i])**2
            dist = np.sum(dist, axis=1)
            dist = np.sqrt(dist)
            dist = np.power(dist, 2) # I think this line is missing
            denom  = denom + np.power(1/dist, 1/(m-1))
            
        for i in range(n_clusters):
            dist = (X.iloc[:,:].values - centers[i])**2
            dist = np.sum(dist, axis=1)
            dist = np.sqrt(dist) # Up to here is the euclidean distance but for the equation for update the weights now squares the dist
            dist = np.power(dist, 2) # I think this line is missing
            weight_arr[:,i] = np.divide(np.power(1/dist, 1/(m-1)), denom)

  return weight_arr