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聚类分析 算法的Matlab实现,可以对多参数的数据实现简单方面的分类,从而更好地了解数据结构。,Matlab cluster analysis algorithm to achieve, you can multi-parameter data for the realization of a simple classification, in order to better understand the data structure.
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用matlab实现EM算法,进行聚类分析。,EM algorithm using matlab to achieve, for Cluster Analysis.
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模式识别,聚类分析的最大最小距离算法算法Matlab演示-Pattern recognition, cluster analysis algorithm for the maximum minimum distance algorithm Matlab demo
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基于遗传模拟退火算法的聚类算法。将模拟退火算法与遗传算法相结合用于聚类分析,由于模拟退火算法和遗传算法可以互相取长补短,因此有效地克服了传统遗传算法的早熟现象,同时根据聚类问题的具体情况设计遗传编码方式、适应度函数,使该算法更有效、更快速地收敛到全局最优解。
-Genetic simulated annealing algorithm based on clustering algorithms. Simulated annealing algorithm and genetic algo
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一个关于FUZZY kmeans算法的matlab源程序 有带聚类分析结果-Kmeans algorithm on matlab source are the result of cluster analysis with
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模糊聚类算法,实现对数据的聚类分析,供大家参考-Fuzzy clustering algorithm, the realization of the cluster analysis of data for the U.S. reference
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图像模式识别聚类分析、模糊聚类、遗传算法聚类-Cluster analysis of image pattern recognition, fuzzy clustering, genetic algorithm clustering
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这里和大家分享的几种基础的分类方法,其中包括判别聚类分析、人工神经网络、主成分分析等-Here and to share the basis of several classification methods, including discriminant cluster analysis, artificial neural networks, principal component analysis
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基于matlab语言程序,通过聚类分析对数码图像进行处理。-Matlab-based language program, through cluster analysis of digital images for processing.
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使用c-均值聚类算法在IRIS数据上进行聚类分析,随机选择三个初始聚类中心,经过多次迭代,最终将150个样本分为三类。-Use c-means clustering algorithm in the IRIS data on the cluster analysis, three randomly chosen initial cluster centers, through a series of iterative, 150 samples will eventually fall into
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方差分析与MATLAB应用、聚类分析及MATLAB应用、主成分分析及MATLAB应用。-Analysis of variance with the MATLAB application, the application of cluster analysis and MATLAB, principal component analysis and MATLAB applications.
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入侵检测算法,计算机常用的工具,聚类分析-Intrusion detection algorithm, commonly used computer tools, cluster analysis
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使用Matlab实现上市公司财务评价的模糊聚类分析-Listed companies to use Matlab to achieve the financial evaluation of fuzzy cluster analysis
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用于进行聚类分析的matlab工具箱,包括K-means、模糊聚类等。-Used for cluster analysis of the matlab toolbox.
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采用K- means 算法和FCM 算法实现对47 个城市竞争力的聚类分析-Using K-means algorithm and FCM algorithm to achieve the competitiveness of 47 cities in the cluster analysis
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聚类分析里的k均值(kmeans)算法的matlab实现,是老师即将出的书里,我给写的例子,大家看看吧。
-Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.
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多元回归分析代码 可以做用于多种实际应用
用于各种预测分析 聚类分析代码-Multiple regression analysis code can be done for a variety of practical application of cluster analysis for a variety of predictive analysis code
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通过设计线性分类器;最小风险贝叶斯分类器;监督学习法分层聚类分析;K-L变换提取有效特征,设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
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Matlab提供了两种方法进行聚类分析。
一种是利用 clusterdata函数对样本数据进行一次聚类,其缺点为可供用户选择的面较窄,不能更改距离的计算方法;
另一种是分步聚类:(1)找到数据集合中变量两两之间的相似性和非相似性,用pdist函数计算变量之间的距离;(2)用 linkage函数定义变量之间的连接;(3)用 cophenetic函数评价聚类信息;(4)用cluster函数创建聚类。
-Matlab provides two methods of cluster anal
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常用的k平均聚类 用于聚类分析 代码实现适用的是matlab-k means cluster applied to cluster analysis coded by matlab
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