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Description: 首先介绍模糊集基本知识
其次K均值聚类算法(HCM)介绍
最后重点介绍了模糊C均值聚类，
模糊聚类是一种很重要思想，最近再图像处理中就用的了这种思想，也算是一点思维创新-First of all, introduce basic knowledge of fuzzy sets was followed by K-means clustering algorithm (HCM) focuses on the introduction Finally fuzzy C-means clustering, fuzzy clustering is a very important thinking, recently re-image processing on the use of such thinking, but also Innovative thinking is that
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Size: 17408 |
Author: huiguiyang |
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Description: 清华大学不确定规划教材中的模糊规划求解算法1-Tsinghua University, uncertainty in the planning of teaching materials fuzzy programming algorithm 1
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Size: 6144 |
Author: wq |
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Description: 实现了Fuzzy C-Mean的方法，这是一种基于模糊数学的聚类方法，很好用！-Implementation of Fuzzy C-Mean method, which is a math-based Fuzzy Clustering Method, a very good use!
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Size: 1024 |
Author: yang |
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Description: this code is thresholding image with fuzzy c-meam thresholding, it good result than Otsu method.
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Size: 23552 |
Author: javad |
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Description: 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
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Size: 1024 |
Author: 张淘 |
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Description: Fuzzy C-Mean Clustering algorithm implementation in c sharp
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Size: 3072 |
Author: wajid islam |
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Description: 模糊c均值算法参数仿真,描述算法及比较结果。-Fuzzy c-means algorithm simulation parameters describing the algorithm and compare the results.
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Size: 524288 |
Author: 沈燕 |
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Description: 模糊c聚类代码，聚类方法的一种，可用于镜头检测等方面-Fuzzy c clustering code
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Size: 1024 |
Author: purple_ice |
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Description: Fuzzy C-mean Clustering algorithm for wireless sensor networks
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Size: 1024 |
Author: Ajay Raghuvanshi |
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Description: 在matlab平台下实现的FCM（模糊C均值）聚类分割-In the matlab platform to achieve FCM (fuzzy C mean) clustering segmentation
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Size: 402432 |
Author: sally |
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Description: fuzzy cluster means nice algorithm -fuzzy cluster means nice algorithm !!
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Size: 65536 |
Author: yac |
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Description: This illustrates how to use Fuzzy C-Means clustering for Iris dataset.
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Size: 2048 |
Author: manoj |
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Description: 模糊聚类算法，K-means and K-medoid algorithms，Fuzzy C-means algorithm，The Gustafson{Kessel algorithm，The Gath{Geva algorithm-Fuzzy clustering algorithm, K-means and K-medoid algorithms, Fuzzy C-means algorithm, The Gustafson (Kessel algorithm, The Gath (Geva algorithm
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Size: 4220928 |
Author: twty |
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Description: 模糊C-均值聚类方法的原函数，不用再进行编写，直接可以哄-the function of FUZZY C CLUSTERING
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Size: 2048 |
Author: zhujihang |
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Description: 经模糊系统经常被用来对非线性系统建模，并能取得很好的效果．UE和相似规则合并的神经模糊系统建模算法-Neuro-Fuzzy System Modeling with Density—Based Clustering
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Size: 536576 |
Author: jiangjiang |
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Description: Fuzzy clustering is a class of algorithms for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic.
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Size: 5120 |
Author: bwindhya |
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Description: 第一章介绍模糊集合的基本概念、建立模糊集合隶属度函数的基本方法以及Matlab模糊工具箱中的函数的应用。第二章判别分析方法包括距离判别、模糊集合的贴近度判别以及最大隶属原则。第三章在模糊矩阵概念的基础上，给出了模糊聚类的基本方法以及模糊C均值聚类的Matlab实现。第四章模糊综合评价，建立了客观性权向量、模糊矩阵的综合评价方法。第五章层次分析法介绍了模糊层次分析的建模方法与应用。第六章在普通线性规划的基础上，引入模糊线性规划、多目标规划的模糊最优解以及模糊线性规划在经济中的应用实例。
本书主要对象是财经类院校本科生，可以作为数学建模第二课堂的辅导教材，也可供硕士研究生以及科技工作者参考。-The first chapter introduces the basic concepts of fuzzy sets, fuzzy set membership function to establish the basic methods and functions in the Matlab fuzzy toolbox application. Chapter sub-discriminant analysis, including distance
Do not, determine closeness of fuzzy sets and the maximum membership principle. The third chapter in the fuzzy matrix based on the concept, given the basic methods of fuzzy clustering and fuzzy C means clustering of the Matlab implementation. S
Fuzzy comprehensive evaluation of four chapters, the establishment of the objectivity of the weight vector, fuzzy comprehensive evaluation matrix. Chapter V describes the fuzzy AHP AHP modeling methods and applications. Chapter VI in the general linear
Planning based on fuzzy linear programming, multiobjective programming and fuzzy optimal solution of fuzzy linear programming application example in the economy.
This book is the main target of Financial College undergraduates, mathematical modeling can be used
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Size: 4156416 |
Author: foxway |
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Description: A fault identification with fuzzy C-Mean clustering
algorithm based on improved ant colony algorithm (ACA) is
presented to avoid local optimization in iterative process of
fuzzy C-Mean (FCM) clustering algorithm and the difficulty in
fault classification. In the algorithm, the problem of fault
identification is translated to a constrained optimized
clustering problem. Using heuristic search of colony can find
good solutions. And according to the information content of
cluster center, it could merger surrounding data together to
cause clustering identification. The algorithm may identify
fuzzy clustering numbers and initial clustering center. It can
also prevent data classification from causing some errors.
Thus, applying in fault diagnosis shows validity of computing
and credibility of identification results.
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Size: 273408 |
Author: rishi |
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Description: FLICM一种基于模糊局部信息C均值聚类方法，是对传统FCM聚类方法的最近改进方法，具有更强的鲁棒性，效果明显优于传统算法。-A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering
algorithm.
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Size: 1024 |
Author: 孙博 |
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Description: Fuzzy classification of brain MRI using a priori knowledge weighted fuzzy
C-means
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Size: 670720 |
Author: Senthil |
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