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【Editor】 fuzzy-c-cluster DL : 0: 这是关于模糊K聚类的pdf文件，供大家学习
Update : 2008-10-13 Size : 72209 Publisher : zhs
【Documents】 FCMcluster DL : 0: 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-detailed documentation, including rigid classification and fuzzy classification distinction. Welcome to download
Update : 2024-05-19 Size : 18432 Publisher : 王小然
【Graph Recognize】 julei DL : 0: 聚类算法，数字和图形，包括了多种算法，聚类分析，模糊算法，遗传算法等，VC++的很好的学习程序-Clustering algorithm, numbers and graphics, including a variety of algorithms, cluster analysis, fuzzy algorithm, genetic algorithm, etc., VC++ A good learning process
Update : 2024-05-19 Size : 7920640 Publisher : 1111111
【Windows Develop】 improvedfcm DL : 0: fcm是模糊c均值聚类算法，确定聚类中心以后，通过循环迭代，确定最佳聚类中心-FCM is a fuzzy c means clustering algorithm to determine the cluster center, the adoption cycle of iteration, to determine the optimal cluster center
Update : 2024-05-19 Size : 6144 Publisher : zhourl
【AI-NN-PR】 improvedregion3 DL : 0: 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。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.
Update : 2024-05-19 Size : 9216 Publisher : zhourl
【Graph Recognize】 Cluster DL : 0: 在Visual C++下实现聚类分析在图像识别中的应用。其中包括模糊聚类，遗传算法聚类分析，层次聚类和动态聚类等算法。可以运行，并有分类的源文件。是不错的研究素材。-In Visual C++ Achieve clustering analysis in image recognition applications. Including fuzzy clustering, genetic algorithm for cluster analysis, hierarchical clustering and dynamic clustering algorithm, etc.. Can run, and the classification of the source file. Is a good study material.
Update : 2024-05-19 Size : 229376 Publisher : dd
【matlab】 RepeatFCM DL : 0: 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 the division, which makes the idea is to be divided into clusters with the greatest similarity between the object, and the similarity between different cluster minimum. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for the data are divided into hard and fast, and FCM is a soft fuzzy partition
Update : 2024-05-19 Size : 1312768 Publisher : colin
【Special Effects】 73462683ClusterImageSeg DL : 0: 模糊均值聚类FCM算法对图像的颜色聚类进行图像分割聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
Update : 2024-05-19 Size : 515072 Publisher : 小五子
【matlab】 FCMandCFCM DL : 0: FCM算法是应用最广泛的聚类分析方法之一，CFCM也是模糊数学中的一种聚类分析算法。现在给出的这两个算法是C++代码实现的。 -FCM algorithm is the most widely used method of cluster analysis, CFCM is a kind of fuzzy clustering analysis in the algorithm. Now given by the two algorithms is the C++ code to achieve.
Update : 2024-05-19 Size : 58368 Publisher : 蒋雯倩
【Other】 VCfcm DL : 0: 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
Update : 2024-05-19 Size : 77824 Publisher : samari
【matlab】 fuzzy_k_means DL : 0: 模糊K均值算法实现。Fuzzy K Means algorithm.-Fuzzy K Means algorithm.
Update : 2024-05-19 Size : 1024 Publisher : yuyu
【matlab】 fcm DL : 0: fuzzy clustring alghorithm
Update : 2024-05-19 Size : 485376 Publisher : sahar
【matlab】 PFCM DL : 0: fuzzy clustring and fcm
Update : 2024-05-19 Size : 1024 Publisher : somayeh
【matlab】 FuzzyKmeanclustering DL : 0: code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
Update : 2024-05-19 Size : 2048 Publisher : ketan chaudhari
【matlab】 finalrcm DL : 0: fuzzy clustering for rule base
Update : 2024-05-19 Size : 3072 Publisher : Anil Rose
【Data structs】 Kode-Program-Algoritma-Fuzzy-C-Means DL : 0: 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.
Update : 2024-05-19 Size : 5120 Publisher : bwindhya
【Industry research】 Studies-on-Fuzzy-C-Means-Based-on-Ant-Colony-Algo DL : 0: 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.
Update : 2024-05-19 Size : 273408 Publisher : rishi
【File Format】 FCM-C DL : 0: 模糊C-聚类分析：从随机初始化划分矩阵开始迭代-Fuzzy C-cluster analysis: start from the the random initialization divided matrix iteration
Update : 2024-05-19 Size : 1024 Publisher : leo
【Other】 On-Cluster-Validity-for-the-Fuzzy-c-Means DL : 0: On Cluster Validity for the Fuzzy c-Means
Update : 2024-05-19 Size : 904192 Publisher : Soufi
【AI-NN-PR】 fuzzy-c DL : 0: 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.
Update : 2024-05-19 Size : 2048 Publisher : zhanglei

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