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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
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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, the idea is to make it to the same cluster is divided into the biggest similari
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本人上传的代码是经过认真验证的，能够实现模糊c均值的自动分类，实用性很强，特别适合vc程序初学者。-I upload the code is carefully validated to achieve the fuzzy c-means of automatic classification, very practical, especially for beginners vc program.
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模糊C均值聚类算法，对图像进行分类，图像处理，多类划分，SAR图像分类-Fuzzy c-means algorithm clustering algorithm, the image classification, image processing, many kinds of division, the SAR image classification
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classification de fuzzy c means clustering implmente en c++ ..
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programme de classification fuzzy c-means
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利用核模糊C均值聚类KFCM算法实现对数据的分类-Nuclear Fuzzy C-Means Clustering KFCM algorithm on data classification
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This program is kind of data classification, namely FCM (Fuzzy C-Means Clustering) algorithmm.
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模糊C均值脑电分类并使用了支持向量机对比，其中支持向量机使用了三种方法参数寻优。-fuzzy C means clustering for EEG classification，and use the SVM for campare. The SVM applied three methods to find the optimal apartments.
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基于C++的经典模糊C均值聚类算，效果很好，便于分类。迭代分割-Classic based on C++ the fuzzy C-means clustering operator, the effect is very good, easy classification. Iterative segmentation
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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终的分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- me
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Segmentation of M-FISH Images for Improved Classification of Chromosomes with an Adaptive Fuzzy C-means Clustering Algorithm
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classification de fuzzy c means clustering implmente en c++ ..
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Matlab模式识别例程，包括神经网络算法和BP算法，C均值算法与模糊C均值算法和SVM分类算法。-Matlab pattern recognition routines, including neural network algorithm and BP algorithm, C-means algorithm and Fuzzy C-means algorithm and SVM classification algorithm.
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为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识
别。对同一负荷下的已知故障信号进行变分模态分解，利用
奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法
应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM
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resonance imaging (MRI) data and estimation
of intensity inhomogeneities using fuzzy logic. MRI intensity
inhomogeneities can be attributed to imperfections in the
radio-frequency coils or to problems associated with the acquisition
sequences
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that arises the surface coil array.
This entropy-based method does not require classification and
robustly addresses some problems that are more severe than
those found in brain imaging, including noise, steep bias field,
sensitivity of arter
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模糊C均值的详细说明文档,还包括硬分类与模糊分类的区别,欢迎下载,-A detailed descr iption of the fuzzy c-means document, but also the difference between hard classification and fuzzy classification, welcome to download,
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模糊C均值的详细说明文档,还包括硬分类与模糊分类的区别,欢迎下载,-A detailed descr iption of the fuzzy c-means document, but also the difference between hard classification and fuzzy classification, welcome to download,
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模糊C均值的详细说明文档,还包括硬分类与模糊分类的区别,欢迎下载,-A detailed descr iption of the fuzzy c-means document, but also the difference between hard classification and fuzzy classification, welcome to download,
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