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Description: 一个FMEAN神经网络代码,是matlab开发的模糊聚类-FMEAN a neural network code is developed Matlab fuzzy clustering
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Size: 1258 |
Author: 余建波 |
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Description: 模糊C均值算法的m文件带自己的解释，希望能给大家一点学习上的帮助。
-fuzzy c-means algorithm m document with its own interpretation, in the hope of giving the public a little bit of learning assistance.
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Size: 13813 |
Author: 孙李娜 |
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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: 模糊数学的小工具 有点意思 还算可以 不过比较简陋-Fuzzy Math gadget can be a bit mean but still relatively simple
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Size: 57344 |
Author: liulin |
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Description: 标准的模糊C聚类算法程序，做聚类图像处理的非常有用-the
corresponding algorithms are called kernel fuzzy c-means
(KFCM) and kernel possibilistic c-means (KPCM)
algorithms. And some test results are given to illustrate the
advantages of the proposed algorithms over the FCM and
PCM algorithms.
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Size: 879616 |
Author: 许亮 |
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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: 模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure.
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Size: 2048 |
Author: fujie |
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Description: C均值模糊聚类，适用于图像分类，此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
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Size: 15985664 |
Author: 汪颜 |
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Description: 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定
位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进
行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和Ekman“面部表情图片”数据库上的实验，证实
了所提方法的有效性。-Proposed based on feature fusion and fuzzy kernel discriminant analysis (FKDA) facial expression recognition. First, face images of each piece of hand-set
Bit 34 basis points, as the geometric features of facial expression images, while using Gabor wavelet transform method to transform the images of each piece of expression, and extraction-based
Quasi-point of the Gabor wavelet coefficients, as Gabor features of facial expression image second, using canonical correlation analysis on the geometric features and Gabor features into
Line feature fusion, as expression recognition of input features then, using fuzzy kernel discriminant analysis method to extract and further identification features of expression Finally, the most
Neighbor classifier to complete expression of the classification. International expression by JAFFE database and Ekman "facial image" database on the experiment, confirmed
The proposed method.
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Size: 375808 |
Author: MJ |
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Description: 模糊C均值方法，将模糊的方法用到K均值方法里面-Fuzzy C Means method, the fuzzy approach method which used the mean K
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Size: 2048 |
Author: chenjiejie |
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Description: 采用模糊C均值对数据集data聚为cluster_n类-Fuzzy C mean data on the data sets together to cluster_n class
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Size: 3072 |
Author: 罗慧 |
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Description: code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
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Size: 2048 |
Author: ketan chaudhari |
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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: 模糊C均值聚类算法，在C均值的基础上加入隶属度。-Fuzzy C-means clustering algorithm, on the basis of the C mean join the membership.
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Size: 3072 |
Author: 寻仙问道 |
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Description: C-moyenne floue (La méthode C-moyenne floue (ou fuzzy C-mean)
est une méthode de classification itérative qui permet
de classifier les individus selon C classes )
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Size: 1024 |
Author: |
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Description: Fuzzy C-means and fuzzy swarm for fuzzy clustering problem
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Size: 128000 |
Author: iman |
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Description: 简单实用的模糊C均值源代码，适合新手，本代码适用于数据处理方面的朋友(Simple and practical fuzzy C mean source code, suitable for beginners)
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Size: 1024 |
Author: 牧羊人1
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Description: Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters
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Size: 3072 |
Author: mustafa92
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Description: 亲测，能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)
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Size: 2048 |
Author: duanwu
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Description: 模糊c-均值聚类算法通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的，一般用于故障识别与分类。(Fuzzy c- mean clustering algorithm obtains the membership degree of every sample point to all class centers by optimizing the objective function, and determines the classification of the sample points to achieve automatic classification of sample data. It is generally used for fault recognition and classification.)
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Size: 2048 |
Author: 夜曲独声 |
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