Fuzzy C-means algorithmVariable length string genetic algorithmOrientation analysisUnderground storage cavernDiscontinuities have huge impact on civil and mining engineering. To understand the spatial features of discontinuities, it is common to group them into different sets based on orientation. In this ...
5) Fuzzy cluster analysis 模糊聚类分析 1. Application of fuzzy cluster analysis in fabric variation comfortability evaluation; 模糊聚类分析在织物变形舒适性能评价中的运用 2. Ground water quality assessment based on fuzzy cluster analysis; 基于模糊聚类分析的地下水环境质量评价 3. A study on the ...
模糊C均值聚类算法;对应分析;加权FCM算法;模糊隶属度矩阵;类间分离度;类内紧缩度 中图分类号 TP181 文献标志码 A 文章编号 1671—4512(2012)02—0107—05 Studyofmulti--prototypefuzzyC-。meansclustering algorithmusingc0rresp0ndenceanalysis ZengShan TongXiaojun SangNong LiRongye。 (1InstituteforPatternRecogni...
Based on field measured data of joint sets,analysis steps,parameter selection,cluster validity,and determination of dominant direction for identification of the joint sets by the method,are discussed. 展开 关键词: rock mechanics rock mass joint fuzzy C-means cluster algorithm genetic algorithm ...
Soumi Ghosh, Sanjay Kumar Dubey, "Comparative Analysis of K-Means and Fuzzy C-Means Algorithms", International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 4, 2013.S. Ghosh, S. Dubey, Comparative analysis of K-means and fuzzy C-means algorithm, Int. J. Adv. Comput...
particular, fuzzy clustering algorithm fuzzy C means clustering (FCM, Fuzzy C-Means) segmentation algorithm, carefully study the image segmentation algorithm based on fuzzy clustering in the number of categories to determine the initial cluster, The initial cluster centers and membership functions of ...
A fuzzy clustering arithmetic based on Genetic Algorithm(GA) was proposed.Genetic algorithms instructed to choose the initial cluster centers firstly,and c... Kwang-Baek,Kim - 《Journal of Information & Communication Convergence Engineering》 被引量: 9发表: 2008年 A New PV Array Fault Diagnosis ...
Höppner, F., Klawonn, F., Kruse, R., Runkler, T.: Fuzzy Cluster Analysis. Wiley (1999) Google Scholar Lazaro, J., Arias, J., Martın, J.L., Cuadrado, C., Astarloa, A.: Implementation of a modified Fuzzy C-Means clustering algorithm for real-time applications. Microprocess...
The data weighted clustering can simultaneously produce three categories of parameters: fuzzy membership degrees, exponent impact factors and the cluster prototypes. A new fuzzy algorithm, DWG-K, is developed by combining the data weighted approach and the G-K. Two groups of numerical experiments ...
One of the directions of the future development for multi-sensor multi-target data association is the fuzzy clustering analysis method.This paper presents an improvement based on fuzzy c-means clustering(FCM) algorithm.This new algorithm,by weighted the membership functions,can considerate the subordina...