本文中主要通过利用模糊C均值聚类算法(Fuzzy C-Means Algorithm,FCM)来对交通状态特征进行提取,进而利用已获得的交通状态特征和实时检测的交通流参数信息对交通状态进行判断。
基于1个网页-相关网页
fuzzy c means algorithm 模糊c均值聚类算法
fuzzy c-means algorithm fca 模糊c均值算法
fuzzy c-means algorithm fcm 模糊c均值聚类
a fuzzy c-means algorithm 模糊c均值聚类算法
fcm fuzzy c-means algorithm 模糊c均值算法
Fuzzy C-Means Clustering Algorithm 模糊C均值聚类算法
fuzzy c means cluster algorithm 模糊c均值聚类算法
fuzzy c-means cluster algorithm 模糊c均值聚类算法
weighting fuzzy c-means clustering algorithm 加权模糊c均值聚类算法
The fuzzy c-means algorithm (FCM) is one of widely used clustering algorithms.
模糊c均值算法(FCM)是经常使用的聚类算法之一。
A clustering algorithm for Chinese documents based on the spherical fuzzy c-means algorithm is presented.
提出一种基于球形的模糊c -均值算法的中文文本聚类方法。
Without considering the spatial information of images, the original fuzzy C-means algorithm is very sensitive to image noise.
由于原始的模糊c -均值聚类算法没有考虑图像的空间信息，算法对图像中的噪音点十分敏感。
应用推荐