Description: 模糊聚类的经典算法，可以使用UCI数据集进行聚类，该程序附有详细的说明-Classical fuzzy clustering algorithm, you can use the UCI data sets clustering, the program is accompanied by a detailed description of Platform: |
Size: 9216 |
Author:杨方瑜 |
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Description: 用SVM算法实现聚类与分类的例程。内附实验数据，运行结果以及经典参考文献一篇《A New Fuzzy Cover Approach to Clustering》-SVM algorithm using clustering and classification routines. Included the experimental data, the results as well as the classic References 1 " A New Fuzzy Cover Approach to Clustering" Platform: |
Size: 581632 |
Author:xinxin |
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Description: 模糊聚类和粗糙集关于web聚类很好的文章-Fuzzy Clustering and Rough Set Clustering good article on the web Platform: |
Size: 5180416 |
Author:yuwang2003 |
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Description: 内包含：模糊聚类 遗传算法聚类 层次聚类法的各方法以及动态聚类的各个算法 -Contains: Fuzzy clustering genetic algorithm clustering hierarchical clustering and dynamic clustering of various methods of the various algorithms Platform: |
Size: 3973120 |
Author:王慧 |
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Description: 图像特征提取的总结，用MATLAB模糊聚类算法进行图像分割，阀值分割及特征提取的资料和作业。-Summary of the image feature extraction, fuzzy clustering algorithm using MATLAB for image segmentation, threshold segmentation and feature extraction of data and operations. Platform: |
Size: 490496 |
Author:abcd0609 |
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Description: 模糊聚类方法，用相关系数法构造模糊相似关系矩阵r，构造了模糊等价评判矩阵，为了方便下载者使用，把代码进行了优化，可直接把矩阵带进去使用。-Fuzzy clustering method, using the correlation coefficient method to construct the fuzzy similarity relation matrix r, construct a fuzzy equivalence evaluation matrix, in order to facilitate the download to use, the code has been optimized, can go directly to the matrix with the use. Platform: |
Size: 1024 |
Author:孙兴 |
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Description: 模糊聚类虽然能够对数据聚类挖掘，但是由于网络入侵特征数据维数较多，不同入侵类别间的数据差别较小，不少入侵模式不能被准确分类。本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
-Although fuzzy clustering to cluster the data mining, but the characteristics of the network intrusion data more dimensions, different invasion was little difference between categories of data, many intrusion model can not be accurately classified. This case using fuzzy clustering and generalized regression neural network clustering algorithm to classify data on the invasion. Platform: |
Size: 25600 |
Author:si |
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Description: 模糊聚类算法分析及程序实现，该论文详细介绍了模糊聚类算法的原理和代码实现，可以给大家提供一个参考，希望对大家有用！-Fuzzy clustering analysis and program implementation, the paper introduces the principle of fuzzy clustering algorithm and code implementation, can give you a reference, we hope to be useful! Platform: |
Size: 179200 |
Author:龙龙 |
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Description: 核聚类算法FCM算法及性能分析,有图片,FCM模糊C均值图象,有窗体-Kernel clustering algorithm FCM algorithm and performance analysis, pictures, FCM fuzzy C means the image has the form Platform: |
Size: 402432 |
Author:yu tao |
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Description: 聚类分析是多元统计分析的一种，也是无监督模式识别的一个重要分支，在模式分类 图像处理和模糊规则处理等众多领域中获得最广泛的应用。它把一个没有类别标记的样本按照某种准则划分为若干子集，使相似的样本尽可能归于一类，而把不相似的样本划分到不同的类中。硬聚类把每个待识别的对象严格的划分某类中，具有非此即彼的性质，而模糊聚类建立了样本对类别的不确定描述，更能客观的反应客观世界，从而成为聚类分析的主流。-Clustering analysis is a kind of multivariate statistical analysis, unsupervised pattern recognition is an important branch in pattern classification, image processing and fuzzy rule processing and so on themultitudinous domain gain the most widely used. It puts a no classes according to certain standards of sample mark divided into several subsets, make similar samples as far as possible, and not to class of similar sample divided into different classes. Hard clustering each to identify the object strict division, which has certain either/or properties, and fuzzy clustering established sample of categories of uncertainty description, more can objectively reaction to the objective world, becoming the mainstream of the cluster analysis.
Platform: |
Size: 432128 |
Author:金丰 |
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Description: 这是一个改进了的模糊聚类算法程序，请放心下载，已调试过-This is an improved fuzzy clustering algorithm program, please rest assured that download has been debugged Platform: |
Size: 4096 |
Author:曾行 |
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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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Search - fuzzy clustering