pso.py 文件源码

def __init__(self, data_, n_clusters):
        self.position = []
        if not self.position:
            for i in range(len(data_)):
                self.position.append(random.randrange(n_clusters))
        print(self.position)

        self.velocity = [0 for clusterPoint in self.position]
        self.S = [0 for clusterPoint in self.position]
        self.best = deepcopy(self.position)
        self.bestfit = 0