1) fuzzy clustering
模糊聚类
1.
The application of fuzzy clustering analysis in the comfort evaluation of garment;
模糊聚类分析在服装舒适性评价上的应用
2.
Recognition of the key economic factors of petroleum industry equipment management based on fuzzy clustering;
基于模糊聚类的石油工业设备管理关键经济要素识别
3.
Optimized formation assignment for large-scale air fleet using fuzzy clustering and genetic algorithm;
基于遗传模糊聚类的机群编队最优分配方法
2) fuzzy cluster
模糊聚类
1.
A Fuzzy Cluster Analysis on Choice of Alternatives in Steel Enterprise Cooperation Innovation;
钢铁企业合作创新项目选择的模糊聚类分析
2.
Application of fuzzy cluster analysis in determining fingerprint spectrum of curcuma aromatica salib by pyrolysis gas chromatography;
模糊聚类分析法在郁金裂解色谱测定指纹图谱中的应用研究
3.
Application of fuzzy cluster analysis to water quality diagnosis pattern in circulating cooling water system;
模糊聚类应用于循环冷却水系统的水质诊断模式
3) fuzzy cluster analysis
模糊聚类
1.
Application of Fuzzy Cluster Analysis on Classification of Cultivated Land;
模糊聚类分析在耕地分类中的应用
2.
Customer Demands Identify and Demands Identification s Fuzzy Cluster Analysis Methods;
顾客需求识别及模糊聚类识别方法
3.
Quantitative evaluation of complex carbonate reservoir based on fuzzy cluster analysis
基于模糊聚类分析的复杂碳酸盐岩储层定量评价
4) fuzzy classification
模糊聚类
1.
The fuzzy classification analysis of engineering bidding price;
工程标底的模糊聚类分析
2.
Drought analysis based on stochastic simulation and fuzzy classification;
基于随机模拟和模糊聚类的水文干旱特性分析
3.
A new method of diagnosing in\|cylinder combustion deficiency based on fuzzy classification theory;
基于模糊聚类分析识别内燃机缸内燃烧异常的故障
5) fuzzy-clustering
模糊聚类
1.
Fuzzy-clustering for application in research of ancient ceramics;
模糊聚类分析在古陶瓷研究中的应用
2.
Based on the road traffic noise raw data of Tianjin in the past years, this study assorts all monitoring sites by applying K-Means cluster analysis method of fuzzy-clustering analysis method.
在天津市历年道路交通噪声实测基础上,研究应用模糊聚类分析方法k均值分类法对所有监测点位进行分类,根据聚类对象(样本)与所属类聚类中心的贴近程度,选取了最优测点,经统计检验,该研究方法科学、可行。
3.
Then the method of fuzzy-clustering is introduced and its application is explained.
对通常采用的定长1km的做法进行了分析,指出 了其不足;进而引进了模糊聚类方法,阐述了其应用思路,给出了模糊相似系数的构造方法,据此利用编网法建立 了路段变长划分方法,并对聚类水平α给以解释;最后论述了该法的意义,还进行了实例验证。
6) fcm
模糊聚类
1.
Application of Extended FCM Algorithm in Contextual Ads Keywords Extraction
模糊聚类算法EFCM及其在上下文广告关键词提取中的应用
2.
Experiments show that the performance of the presented algorithm is higher than standard FCM method and better segmentation effect can be obtained.
首先将彩色图像从RGB色彩空间转换到HSI空间,然后联合利用S(饱和度)分量和I(亮度)分量进行粗分割,最后针对H(色调)分量进行模糊聚类。
补充资料：十二类
【十二类】
（名数）因动有声。因声有色。因色有香。因香有触。因触有味。因味有法。六乱妄想成业性。故十二区分。由此轮转。是故十二变为一旋复。乘此轮转。故有卵生，湿生，胎生，化生。有色无色。有想无想。若非有色。若非无色。若非有想。若非无想。谓之十二类。见楞严经。
（名数）因动有声。因声有色。因色有香。因香有触。因触有味。因味有法。六乱妄想成业性。故十二区分。由此轮转。是故十二变为一旋复。乘此轮转。故有卵生，湿生，胎生，化生。有色无色。有想无想。若非有色。若非无色。若非有想。若非无想。谓之十二类。见楞严经。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条