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matlabPCA
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Principal componenet analysis code written in matlab paltform in order to solve multivariate problems like discriminating bological disease states from healty ones.-Principal componenet analysis code written in matlab paltform in order to solve multivariate problems like discriminating bological disease states from healty ones.
Update : 2024-05-05 Size : 1024 Publisher : uur

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AresLab MARS Multivariate adaptive regression splines
Update : 2024-05-05 Size : 117760 Publisher : drbrownisback

多元多项式运算 主要用C++语言实现其功能-Mainly used for computing multivariate polynomials C++ language function
Update : 2024-05-05 Size : 4096 Publisher : 周武

水果图像的特征提取,毕业设计做的,很实用,只要运行“apple.m”就可以-Multivariate statistical analysis of the source code, written with the basic
Update : 2024-05-05 Size : 185344 Publisher : 赵亮

高等数学问题的MATLAB解法,里面包含:函数极限和导数、解析几何和多变量分析、数值积分和微分方程数值解、数列和级数、线性代数、概率论与数理统计 -MATLAB solution of the problem of higher mathematics, which includes: Limit and derivative functions, analytic geometry and multivariate analysis, numerical integration and differential equations, series and series, linear algebra, probability theory and mathematical statistics
Update : 2024-05-05 Size : 4635648 Publisher : 小天

进行多元一次线性回归分析 可用于数据关联计算-A linear regression analysis of multivariate data association can be used to calculate
Update : 2024-05-05 Size : 2048 Publisher : ifeng

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matlab code for image segmentation using a new method multivariate technique
Update : 2024-05-05 Size : 1024 Publisher : aziz

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Multivariate Gaussian Mixture Model Optimization by Cross Entropy
Update : 2024-05-05 Size : 32768 Publisher : utrade1

多元统计中的对应分析程序,提取因子之后,可对提取的公共因子按最大方差旋转。程序经多组经典数据验证通过。-The corresponding multivariate statistical analysis program, after the extraction of factors, can extract the common factors by maximum variance rotation. Program through multiple data validation through classical.
Update : 2024-05-05 Size : 7168 Publisher : XiongZhiXIn

针对传统变化检测方法存在的缺陷,将最小噪声比率变换(Minimum Noise Fraction, MNF)和多元变化检测(Multivariate Alteration Detection, MAD)方法应用于东营市城市扩展分析.从MNF和MAD变换获得的影像中提取的二值图像可知,检测结果总体精度达到90.1 ,Kappa系数为0.802,证明了本文方法在变化区域检测方面的可操作性和有效性.-Traditional change detection methods for defects, the minimum noise fraction transformation (Minimum Noise Fraction, MNF) and multi-change detection (Multivariate Alteration Detection, MAD) method is applied to expansion of the city of Dongying City. From the MNF and the MAD transform images obtained extracted binary image known, the overall accuracy of test results 90.1 , Kappa coefficient was 0.802, which proves that the method proposed in testing the operability and effectiveness aspects.
Update : 2024-05-05 Size : 445440 Publisher : lwh

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Excellent code for robust regression and multivariate dataanalysis
Update : 2024-05-05 Size : 96256 Publisher : ffdoen

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The recent development of a meshless method by using radial basis functions will be reported in this talk. Application to both multivariate interpolation and solving partial differential equations have demonstrated the spectral convergence of the method for some particular radial basis functions like multi quadric. This talk will also discuss some of the recent proposed techniques for solving the ill-conditioning problem resulted from solving the full resultant matrix.
Update : 2024-05-05 Size : 66560 Publisher : nima fathi

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In this paper, a new approach in human identification is investigated. For this purpose, a standard 12-lead electrocardiogram (ECG) recorded during rest is used. Selected features extracted from the ECG are used to identify a person in a predetermined group. Multivariate analysis is used for the identification task.
Update : 2024-05-05 Size : 59392 Publisher : soyuj

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In this paper, a new approach in human identification is investigated. For this purpose, a standard 12-lead electrocardiogram (ECG) recorded during rest is used. Selected features extracted from the ECG are used to identify a person in a predetermined group. Multivariate analysis is used for the identification task.
Update : 2024-05-05 Size : 402432 Publisher : soyuj

基于因子分析和聚类分析的旅游目的地决策分析方法 多元统计分析-Based on factor analysis and cluster analysis of tourist destination decision-making method of multivariate statistical analysis
Update : 2024-05-05 Size : 10240 Publisher : Sammi

PCA 应用于数据矩阵降维,压缩数据!广泛应用于各种行业。 Author: F. Murtagh- Principal Components Analysis or the Karhunen-Loeve expansion is a classical method for dimensionality reduction or exploratory data analysis. One reference among many is: F. Murtagh and A. Heck, Multivariate Data Analysis, Kluwer Academic, Dordrecht, 1987. Author: F. Murtagh
Update : 2024-05-05 Size : 5120 Publisher : zhengshu

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应用多变量相空间重构对分析脑电信号Multivariate analysis of the phase space reconstruction of the EEG-Multivariate analysis of the phase space reconstruction of the EEGMultivariate analysis of the phase space reconstruction of the EEG
Update : 2024-05-05 Size : 1024 Publisher :

《实用数据挖掘》 本书对面向应用的数据挖掘方法进行了清晰的阐述,包括经典的多元统计方法、贝叶斯多元统计方法、基于机器学习的数据挖掘方法和基于计算的数据挖掘方法等。介绍了数据挖掘领域中许多最新的研究成果,如关联规则、序列规则、图示马尔可夫模型、基于存储的推理、信用风险和Web挖掘等。并详细介绍了选自实际工业项目的6个应用实例,强调了数据挖掘方法的实用性。 本书主要面向计算机科学、信息管理、应用统计学和经济学等专业的高年级本科生和研究生。对实际从事海量数据分析和处理的技术人员也有很好的指导作用和参考价值。 -Application-oriented book on data mining methods were clearly described, including the classic multivariate statistical methods, Bayesian multivariate statistical methods, data mining based on machine learning methods and calculations based on data mining methods. The field of data mining are introduced many of the latest research results, such as association rules, sequence rules, icons, Markov model, based on the storage of reasoning, credit risk, and Web mining. And gave details of the actual industrial projects selected from the six examples, emphasizing the usefulness of data mining methods. Book is mainly for computer science, information management, applied statistics and economics, and other professional undergraduate and graduate students. Actually engaged in massive data for analysis and processing of the technical staff are also very good guidance and reference value.
Update : 2024-05-05 Size : 13325312 Publisher : showna

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This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
Update : 2024-05-05 Size : 2048 Publisher : FOUFOU2

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N-way Multivariate ANalysis of COVAriance (MANCOVA
Update : 2024-05-05 Size : 9216 Publisher : nnmb
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