Fuzzy C-Means Cluster Analysis Based on Variable Length String Genetic Algorithm for the Grouping of Rock Discontinuity SetsRock discontinuityFuzzy C-means algorithmVariable length string genetic algorithmOrientation analysisUnderground storage cavernDiscontinuities have huge impact on civil and mining ...
(1988) The application of fuzzy c-means cluster analysis and non-linear mapping to geochemical datasets: examples from Portugal. Appl. Geochem. 3, 213-241.Vriend, S.P., Gaans, P.F.M. van, Middelburg, J. and de Nijs, A. 1988. The application of fuzzy c-means cluster analysis and...
A fuzzy C-means cluster analysis method based on genetic algorithm for automatic identification of joint sets is introduced. This method eliminates the local optimality disadvantages of fuzzy C-means cluster algorithm and the subjectivity of traditional methods such as pole and contour plots in ...
A simple and fast method to determine the parameters for fuzzy c-means cluster analysis V. Schwammle and O. N. Jensen, "A simple and fast method to determine the parameters for fuzzy c-means cluster analysis," Bioinformatics, vol. 26,... V Schwmmle,ON Jensen - 《Bioinformatics》 被引...
2019-12-04 09:03 −1.什么是K-Means? K均值算法聚类 关键词:K个种子,均值聚类的概念:一种无监督的学习,事先不知道类别,自动将相似的对象归到同一个簇中 K-Means算法是一种聚类分析(cluster analysis)的算法,其主要是来计算数据聚集的算法,主要通过不断地取离种子点最近均值的算法. K-Mea... ...
Thermal error modeling of machine tool based on fuzzy c-means cluster analysis and minimal-resource allocating networks[J]. International Journal of Advanced Manufacturing Technology,2012,60(5-8):463-472.J. Han, et al., Thermal error modeling of machine tool based on fuzzy c-means cluster ...
Correlation Analysis The potential of functional MRI (fMRI) data analysis using the paradigm independent fuzzy cluster analysis (FCA) applied in the time domain compared to fre... R. Baumgartner A,C. Windischberger A,E. Moser A B - 《Magnetic Resonance Imaging》 被引量: 363发表: 1998年 ...
Paper is a survey of fuzzy logic theory applied in cluster analysis. Fuzzy logic becomes more and more important in modern science. It is widely used: from data analysis and forecasting to complex control systems. In this article we consider clustering based on fuzzy logic, named Fuzzy Clusteri...
Further FCM analysis reveals three distinct clusters: (i) cluster 1 displays high density and low magnetic susceptibility responses and comprises majorly metabasic, phyllite, and mica schist rocks, (ii) cluster 2 shows low density and low magnetic susceptibility characteristics and contains mainly meta...
Clustering analysisSine cosine algorithmOutliersFuzzyc-means algorithmPossibilistic fuzzyc-means algorithmFuzzyc-ordered means algorithmDue to advances in information technology, data collection is becoming much easier. Clustering is an important technique for exploring data structures used in many fields, ...