def create_test_data_vector(values_list: list):
data_vector = DataVector()
for values in values_list:
point = DataPoint()
for dimension_value in values:
point.add_dimension(dimension_value)
data_vector.add_point(point)
return data_vector
def initialize_cluster(self):
point = DataPoint()
for dimension in range(self.data_vector.dimension):
random_value = random.uniform(self.minimum.value(dimension + 1), self.maximum.value(dimension + 1))
point.add_dimension(random_value)
return point
def create_test_data_point(values: list):
point = DataPoint()
for dimension_value in values:
point.add_dimension(dimension_value)
return point