c C major [minor] C大[小]调。 a C-spring C字形(承力)弹簧 (=Cee-spring)。 CCCL=350. C3丙等(的),体格劣等(的)。 (a C3 concert 第三流音乐会)。 C and A Pocket 〔美国〕无业游民做在上衣里用来装多余粮食的口袋 (Chicago and Alton pocket)。 C and S 【美军】整洁而严肃的 (=clean and sober)。
On document clustering based on fuzzy c - mean algorithm 均值算法文档聚类问题的研究
Image segmentation using the method of pyramidal fuzzy c - mean cluster 均值聚类图像分割方法
Escaped toll analysis of etc system customer data based on fuzzy c - means clustering 系统客户的逃费分析研究
Image segmentation algorithm based on simulated annealing and fuzzy c - means clustering 均值聚类相结合的图像分割算法
Clone principle is led into evolutionary computing , and a hybrid algorithm is combining antibody clone strategy with fuzzy c - means clustering method is given . it is used in intrusion detection 提出将人工免疫与模糊c -均值聚类技术相结合进行聚类,从而实现对异常行为的检测的算法。
The parameter sensitivity of induction motor load model is studied . a new approach based on fuzzy c - means clustering is proposed for the classification of dynamic load characters 分析了感应电动机综合负荷模型参数灵敏度,介绍了模糊聚类的分类方法,提出了基于模糊c均值聚类的负荷特性分类方法。
Fuzzy c - means algorithm is used to cluster the production data in batch annealing process , then the exponent least square algorithm is used to get the relationship between cooling time and weight of clusters 采用模糊c均值聚类方法对退火生产数据进行处理,再基于得到的聚类数据点进行指数最小二乘回归。
We use image quantization and image enhancement techniques to preprocess the polsar data . we then use the polarimetric information and fuzzy c - means ( fcm ) clustering algorithm to classify the preprocessed images 我们使用图像量化和图像增强技术对原始sar数据进行预处理;在特征空间中利用极化信息、使用模糊c均值( fcm )算法对预处理后的sar图像进行分类。
Firstly , the initial values of cluster are obtained by hough transform , which consider the linearity and continuity , then the premise and consequent parameters are identified based on fuzzy c - means and recursive least square 首先利用hough变换的方法得到聚类中心的初始值,然后通过模糊c -均值聚类法辨识前提参数,采用递推最小二乘辨识模糊模型的结论参数。
So a framework of vehicle faults diagnosis based on rs and nn has been proposed and illustrated in an application for the faults diagnosis of gearbox . continuous attributes are discretized by means of fuzzy c - means , kohonen neural network and k - means 分析了粗糙集理论和神经网络技术在故障诊断应用中的优点和缺点,阐明了二者结合的必然性,提出将二者结合起来的车辆故障诊断数据挖掘系统框架。