def run():
neighbourhood = 50 # radius of neighbourhood
data = parse_data("data/objects20_06.data")
dist_matrix = create_dist_function(data,
lambda x1, x2: np.linalg.norm(x1 - x2))
print("Random")
run_measurements_msls(data, dist_matrix, neighbourhood, 10, "random")
def run():
neighbourhood = 50 #radius of neighbourhood
data = parse_data("data/objects20_06.data")
dist_matrix = create_dist_function(data,
lambda x1, x2: np.linalg.norm(x1 - x2))
run_measurements(data, dist_matrix, neighbourhood, 1, method="none")
run_measurements(data, dist_matrix, neighbourhood, 1, method="cache")
run_measurements(data, dist_matrix, neighbourhood, 1, method="candidates")
run_measurements(data,
dist_matrix,
neighbourhood,
1,
method="candidates_with_cache")