abs_distance_classifier.py

def classify(point, mean_map):

    dists = {}

    for cat in mean_map:
        mean_point = mean_map[cat]
        cat_dist = 0
        for i in range(len(mean_point)):
            cat_dist += abs(float(mean_point[i]) - float(point[i]))
        dists[cat] = cat_dist

    min = 10000000000
    min_cat = ''
    for cat in dists:
        if dists[cat] < min:
            min_cat = cat
            min = dists[cat]
    
    return min_cat