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matlab聚类分析工具箱,很好用。大家可以试一试-Matlab Toolbox cluster analysis, is useful. We can try
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?Spider-matlab工具箱,为一良好的数据分析工具箱,内建核偏最小二乘回归(KPLS),径向基网络回归(RBFnet)等;支持向量机(SVC)分类;聚类分析等.-Spider-Matlab Toolbox for a good data analysis toolbox. Built-nuclear partial least squares (PLS) regression neural network (RBFnet); Support Vector Machine (SVC) c
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模糊聚类分析分析的MATLAB实现,并且以图形的方式呈现了模糊聚类分析的结果。,Analysis of fuzzy cluster analysis to achieve the MATLAB and graphical way to show the results of fuzzy cluster analysis.
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MATLAB实现的聚类分析,距离计算使用欧式距离,然后采用下三角矩阵进行聚类。-MATLAB implementation of the cluster analysis, the distance calculated using the Euclidean distance, and then use a lower triangular matrix clustering.
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聚类分析工具箱 亚历山大博士写的,用于聚类分析,功能比较全-Cluster Analysis and Cluster Ensemble Software
ClusterPack is a collection of Matlab functions for cluster analysis. It consists of the three modules ClusterVisual, ClusterBasics, and ClusterEnsemble as described in t
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很有用的Matlab聚类分析算法,很全面,保证可用-Matlab is used for cluster analysis algorithms, a very comprehensive and ensure that available
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使用Fuzzy Cluster Mean (FCM)與Principal component analysis (PCA)分類Yeast Data-Yeast data will be classified by means of Fuzzy Cluster Mean (FCM)and Principal component analysis (PCA) based on matlab.
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matlab写的自己设计的自适应网络做iris聚类分析并分类的实验,算法不是很稳定,有一定参考价值-matlab write ,adaptive cluster analysis and classification of iris experiment, the algorithm is not very stable and have a certain reference value
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k-means算法的实现,实用matlab是实现的,可以用啦做聚类分析-k-means algorithm for the realization of the practical realization of matlab, so you can use cluster analysis
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模糊数学中的波达排序,还有模糊聚类分析的MATLAB源代码-Borda sort,Fuzzy Cluster Analysis
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模糊聚类分析matlab工具箱fullcluster-Fuzzy cluster analysis matlab toolbox fullcluster
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主要是利用MATLAB来实现系统的聚类分析,其中包括代码和功能说明。-Is to use MATLAB to implement the system of cluster analysis, including code and functional specifications.
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用matlab编写的小程序,采用聚类分析实现目标的分割。-Small programs written with matlab, using cluster analysis to achieve target segmentation.
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利用Matlab和SPSS软件实现聚类分析.运用Matlab中的一些基本矩阵计算方法,通过自己编程实现聚类算法-Matlab and SPSS software using cluster analysis. The use of Matlab, some of the fundamental matrix method, clustering algorithms, through their own programming
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matlab用于数据处理中的聚类分析 可以解决相关问题-matlab for cluster analysis of data processing issues can be solved
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本程序可对繁琐的变量进行聚类,有利于后续分析,是对变量进行聚类的程序(You can use cluster analysis the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups .)
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Cluster analysis is used in many disciplines to group objects according to a defined measure of distance. Numerous algorithms exist, some based on the analysis of the local density of data points, and others on predefined probability distributions. R
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分别介绍了概率与数理统计概述、统计估计、假设检验、方差分析、回归分析、正交试验分析、聚类分析、判别分析和多元数据相关分析等内容,理论与实践相结合,向读者演示了matlab在数理统计中的应用。(It respectively introduces the outline of probability and mathematical statistics, statistical estimation, hypothesis test, variance analysis, regression
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聚类分析指将物理或抽象对象的集合分组为由类似的对象组成的多个类的分析过程。它是一种重要的人类行为。
聚类分析的目标就是在相似的基础上收集数据来分类。聚类源于很多领域,包括数学,计算机科学,统计学,生物学和经济学。在不同的应用领域,很多聚类技术都得到了发展,这些技术方法被用作描述数据,衡量不同数据源间的相似性,以及把数据源分类到不同的簇中。(Clustering analysis refers to the process of grouping a collection of physical
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基于一组数据的聚类分析的应用,聚类分析指将物理或抽象对象的集合分组为由类似的对象组成的多个类的分析过程。它是一种重要的人类行为。
聚类分析的目标就是在相似的基础上收集数据来分类。聚类源于很多领域,包括数学,计算机科学,统计学,生物学和经济学。在不同的应用领域,很多聚类技术都得到了发展,这些技术方法被用作描述数据,衡量不同数据源间的相似性,以及把数据源分类到不同的簇中。(Application of cluster analysis based on a group of data)
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