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用matlab实现的C均值模糊聚类方法,程序简单易懂,适合初学者学习以及中高级学者在编程时调用,真的非常好用!-Using matlab the C mean fuzzy clustering method, the program is simple to understand for beginners to learn, as well as senior scholars in the programming call, really easy to use!
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利用模糊聚类算法实现图像分割,在matlab环境中实现。-Image segmentation using fuzzy clustering algorithm, implemented in Matlab environment.
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模式识别与智能计算的一个基于matlab运行的识别分类软件,聚集了模糊聚类,SVM,神经网络等各种流行的分类算法于一体,便于比较测试数据在不同分类算法下的分类效果-Pattern Recognition and Intelligent Identification and Classification of the calculation to run a matlab software, gathered a variety of popular fuzzy clustering, SVM,
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模糊聚类的图像分割,通过模糊c-均值(FCM)聚类实现图像的分割-Fuzzy clustering segmentation
Image segmentation by fuzzy c-means (FCM) clustering.This is a very very very good file.matlab
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运用C实现了数字图像的一些基本算法,包括canny edge detection,阈值变换,维纳滤波,直方图均衡,图像细化,旋转,图像配准,图像分割kmeans, isodata, fuzzy c means, fuzzy clustering, mrf image seg, 图像浏览,road svm using matlab, snakes matlab, anistropic gaussian filter-Canny edge detection, threshold transform
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数据挖掘(Data Mining)阶段首先要确定挖掘的任务或目的。数据挖掘的目的就是得出隐藏在数据中的有价值的信息。数据挖掘是一门涉及面很广的交叉学科,包括器学习、数理统计、神经网络、数据库、模式识别、粗糙集、模糊数学等相关技术。它也常被称为“知识发现”。知识发现(KDD)被认为是从数据中发现有用知识的整个过程。数据挖掘被认为是KDD过程中的一个特定步骤,它用专门算法从数据中抽取模式(patter,如数据分类、聚类、关联规则发现或序列模式发现等。数据挖掘主要步骤是:数据准备、数据挖掘、结果的解释
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The Fuzzy Clustering and Data Analysis Toolbox is a collection of MATLAB functions. The toolbox provides five categories of functions:
- Clustering algorithms
- Evaluation with cluster prototypes
- Validation
- Visualisation
- Example
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FCM模糊聚类算方法的matlab实现,实现其基本功能-FCM fuzzy clustering algorithm method matlab to achieve, to achieve its basic function
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it is a source code for clustering in MATLAB,it is a source code for clustering in MATLAB
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matlab数学建模中的15个模型的算法讲解与举例,包括灰色预测、灰色关联分析、主成分分析法、模糊聚类分析、随机模拟、多元回归模型、正交试验设计、图论、目标规划模型、马尔可夫预测方法、时间序列分析、模糊综合评价模型、层次分析模型、模糊数学方法、模拟退火算法。-15 model matlab mathematical modeling method to explain with examples, including the gray prediction, gray correlation a
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Fuzzy c means clustering matlab code
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采用模糊数学语言对按一定的要求进行描述和分类的数学方法称为模糊聚类分析,模糊聚类分析Matlab程序-Mathematical methods described and classified according to certain requirements using fuzzy mathematical language called the fuzzy clustering analysis, fuzzy clustering analysis Matlab program
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能进行数据分类的MATLAB源程序,模糊聚类程序-MATLAB source data classification, fuzzy clustering procedure
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完成了传递闭包转换等价矩阵,到截取矩阵,最后以动态聚类图形现实出来,并且直观显示,对于初级用户有很大帮助,可以进行二次开发-Transitive closure conversion completed equivalent matrix, to intercept matrix, and finally to the reality out dynamic clustering graph, and an intuitive display of great help for the novi
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用matlab编写用遗传算法改进的模糊聚类算法的程序,-Prepared using matlab genetic algorithm fuzzy clustering algorithm procedures,
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自适应模糊C均值聚类的MATLAB源代码,自适应确定聚类个数。-Adaptive Fuzzy C-Means clustering MATLAB source code, adaptive determine the number of clusters.
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模糊C均值聚类的MATLAB源代码,已经封装成函数的形式。-Fuzzy C-Means clustering MATLAB source code, has been packaged into the form of function.
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模糊聚类分析,MATLAB编程实现,很好的很经典的源代码,有详细解释-Fuzzy clustering analysis, MATLAB programming, good classic source code, a detailed explanation
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Fuzzy C mean clustering algorithm which is implemented in matlab. That is well-known clustering algorithm. This code can help you to used FCM clustering algorithm.
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matlab模糊k-means聚类算法源码,很实用,略微改造即可使用-matlab fuzzy k-means clustering algorithm source code, very practical, you can use a little renovation
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