Description: 模糊识别的一种分类方法，属于模糊C均值方法，里面包括了算法与具体步骤。欢迎下载-fuzzy identification of a classification method is Fuzzy C- Means, includes the algorithm and the concrete steps. Welcome to download Platform: |
Size: 1024 |
Author:王小然 |
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Description: 模糊C均值分类，用于图像处理中 很好用的，极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend Platform: |
Size: 2048 |
Author:zf_528 |
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Description: 模糊c均值聚类算法对遥感图像分类，可自己进行修改-Fuzzy c means clustering algorithm for remote sensing image classification can be modify their Platform: |
Size: 1024 |
Author:郝跃军 |
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Description: 遗传算法改进的模糊C-均值聚类MATLAB源码
模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。
-Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard fuzzy C-means clustering algorithm to obtain the optimal classification result. Platform: |
Size: 1024 |
Author:孙准 |
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Description: 利用模糊c—均值聚类方法将data 数据向量；3表示分成三类；center表示分类中心-Using fuzzy c-means clustering method to the data vector data 3 that is divided into three categories center said the classification center Platform: |
Size: 1024 |
Author:乔百杰 |
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Description: 模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。-Fuzzy C-means algorithm converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard Fuzzy C-Means clustering algorithm to obtain the optimal classification result. Platform: |
Size: 1024 |
Author:zsy |
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Description: A Fuzzy classifier using matlab, c++ and delphi. the source code has merged codes developed by these programming languages to do classification. Platform: |
Size: 25600 |
Author:amir |
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Description: FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on division, and its thinking that it is making is divided into the same cluster of the biggest similarity between the objects, while the minimum similarity between the different clusters. Fuzzy C Means algorithm is a general C Means Algorithm, ordinary C means algorithm for data classification is rigid, while the FCM is a fuzzy partition of a flexible Platform: |
Size: 77824 |
Author:samari |
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Description: 模糊C均值聚类，通过设置不同的灰度，可将彩色图像分成若干区域，达到分类的目的。-Fuzzy C means clustering, by setting different grayscale, color images can be divided into several regions, to achieve the purpose of classification. Platform: |
Size: 1024 |
Author:朱旬旬 |
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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. Platform: |
Size: 273408 |
Author:rishi |
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Description: 这是模糊C均值的matlab源程序，只要输入原始数据就可以按要求井陉分类~-This is the fuzzy C-means matlab source, as long as the original input data required Jingxing Category ~ Platform: |
Size: 2048 |
Author:燕青 |
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Description: k均值算法是模式识别的聚分类问题，采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class Platform: |
Size: 2048 |
Author:赵燕 |
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Description: 提出一种基于模糊C 均值的支持向量机分类算法，通过模糊C 均值算法对未知类别数据
进行划分，然后再利用支持向量行对划分后的数据机进训练。解决了以往人们应用支持向量机进行
数据分类识别前必须采用已知类别的数据对支持向量机进行训练的弊端，提高了数据分类的效率。-Support vector machines classification algorithm is proposed based on Fuzzy C-Means, Fuzzy C-Means algorithm unknown class data division, and then use the support vector line modem divided into training. Solve the drawbacks of the people in the past applied Support Vector Machine data classification and recognition must be known before the category of data for training support vector machine, to improve the efficiency of data classification. Platform: |
Size: 237568 |
Author:罗朝辉 |
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Description: 模糊C均值分类，用于图像处理中 很好用的，极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend Platform: |
Size: 2048 |
Author:theCPI |
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Description: 模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum, in order to overcome this drawback, the genetic algorithm is applied to the fuzzy C- means algorithm (FCM) optimization calculation, the genetic algorithm initial cluster centers, and then use the standard blur C- means clustering algorithm to obtain the optimal classification result. Platform: |
Size: 2048 |
Author:zhanglei |
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Search - fuzzy C-means classification