Description: FCMDEMO displays a GUI window to let you try out various parameters
in fuzzy c-means clustering for 2-D data. You can choose the data set
and clustering number from the GUI buttons at right, and then click
"Start" to start the fuzzy clustering process.-FCMDEMO GUI displays a window to let you try out various parameters in fuzzy c-means cluste ring for 2-D data. You can choose the data set and clustering number from the GUI buttons at right , and then click "Start" to start the fuzzy clus tering process. Platform: |
Size: 5120 |
Author: |
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Description: 首先对原始数据 归一化
然后进行PCA分析
采用PCs作为特征,
进行模糊聚类分析 fuzzy c-means method-First normalized the raw data and then proceed to PCA analysis using PCs as features, fuzzy clustering analysis for fuzzy c-means method Platform: |
Size: 1024 |
Author:王一 |
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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 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. Platform: |
Size: 368640 |
Author:Alpha |
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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。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. Platform: |
Size: 1713152 |
Author:zhourl |
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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。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. Platform: |
Size: 9216 |
Author:zhourl |
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Description: 模糊Fcm代码,在matlab下开发,用c划分聚类进行数据分析-Fuzzy FCm code, developed in matlab with c divided into clustering for data analysis Platform: |
Size: 82944 |
Author:sunana |
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Description: 自行implement的k-mean(含fuzzy c mean),可以直接於vc++針對大量數據進行分群的動作-Implement on its own the k-mean (with fuzzy c mean), can be directly in vc++ For clustering large amount of data movement Platform: |
Size: 4096 |
Author:陳志強 |
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Description: 实现数据挖掘的几个算法,包括模糊聚类,K均值,以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K Platform: |
Size: 256000 |
Author:Haha |
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Description: 采用模糊C均值对数据集data聚为cluster_n类-Fuzzy C-means data sets of data together for cluster_n category Platform: |
Size: 5120 |
Author:tf Cheung |
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Description: 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. Platform: |
Size: 5120 |
Author:bwindhya |
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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: 模糊C均值聚类算法的步骤还是比较简单的,模糊C均值聚类(FCM),即众所周知的模糊ISODATA,是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy C-means clustering algorithm is relatively simple steps, fuzzy C-means clustering (FCM), known as fuzzy ISODATA, is used to determine the membership of each data point belongs to a certain degree of clustering as a clustering algorithm Platform: |
Size: 172032 |
Author:pingziyu |
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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: 该算法引入遗传算法对模糊c均值算法进行改进,并在iris数据集中进行实验验证,得到很高的正确率。-The algorithm genetic algorithm fuzzy c-means algorithm is improved, and focus on experiments in the iris data to obtain a high accuracy. Platform: |
Size: 6144 |
Author:杨鹏 |
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Description: 基于fuzzy c-means(FCM)的无监督模糊聚类算法,输出值有:各个样本的类别标签、目标函数在每次迭代后的值、聚类中心以及聚类区间。内有测试数据data.mat,点击 test.m 可以完美运行。(The unsupervised fuzzy clustering algorithm based on fuzzy c-means (FCM) outputs the class labels of each sample, the value of the target function after each iteration, the clustering center and the clustering interval. There is test data ('data.mat') inside, click ' test.m' to be able to run perfectly.) Platform: |
Size: 16384 |
Author:Galsang
|
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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 Platform: |
Size: 3156 |
Author:Mustafa_92 |
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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 Platform: |
Size: 3072 |
Author:mustafa92
|
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