Search - Multivariate Data Analysis

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【Static control】 staticcode DL : 0: 进行多元统计分析基类代码及接口的实现元统计分析基类声明提供矩阵数据格式及矩阵的加减乘运算及多元统计中常用的求样本均值协方差方法-Multivariate statistical analysis for the base class code and the interface element statistical analysis of base class declaration data format and the matrix matrix addition and subtraction, multiplication and Multivariate Statistics used in order to sample mean covariance method
Update : 2024-05-19 Size : 43008 Publisher : 胡子春
【matlab】 nwaydever3.1 DL : 0: 多元统计分析是一种应用非常广泛的数据处理方法，这是一个运行在MATLAB环境下的多向数据统计分析处理方法的程序，实现最新的多向统计处理运算。-Multivariate statistical analysis is a widely used data processing methods, this is a run on MATLAB environment to the many treatment methods of statistical analysis procedures, the latest of many to achieve statistical processing algorithms.
Update : 2024-05-19 Size : 4268032 Publisher : 李辉
【Algorithm】 LinearRegression DL : 0: 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 : 2024-05-19 Size : 2048 Publisher : ifeng
【matlab】 Main_Cor_Analysis DL : 0: 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 : 2024-05-19 Size : 7168 Publisher : XiongZhiXIn
【AI-NN-PR】 Applied_Data_Mining DL : 0: 《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 : 2024-05-19 Size : 13325312 Publisher : showna
【matlab】 Complete-collection-of-algorithm DL : 0: 算法大全全书分30章及2附录（在MATLAB中实现）对常用数学算法进行汇总介绍。主要包括：线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以及附录-Complete collection of algorithm including 30 chapters and 2 appendices: linear programming, nonlinear programming, dynamic programming, graph and networks, queuing theory, game theory, the level of analysis, interpolation and fitting, statistical description and analysis of data , analysis of variance, regression analysis, differential equations modeling, steady-state model, ordinary differential equation solution, difference equation model, Markov chain model, variational method model, neural network model, the numerical solution of partial differential equations, goal programming, fuzzy numerical model, modern optimization algorithms, time series models, storage theory, the optimization of economic and financial issues, production and service operations management in the optimization problem, gray system theory and its applications, multivariate analysis, partial least squares regression, and Appendix
Update : 2024-05-19 Size : 7684096 Publisher : 商志远
【matlab】 kmeans DL : 0: function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006. -function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.
Update : 2024-05-19 Size : 1024 Publisher : ehsan
【source in ebook】 pls DL : 0: 实现多输入多输出数据的线性降维，实现多元统计分析与回归分析的综合能力。降维效果很好！-Realize multiple input multiple output data linear dimensional reduction, realization of multivariate statistical analysis and regression analysis of the comprehensive ability. Dimension reduction effect is very good!
Update : 2024-05-19 Size : 2048 Publisher : 神愫
【Other】 suanfadq DL : 0: 算法大全全书分30章及2附录（在MATLAB中实现）对常用数学算法进行汇总介绍。主要包括：线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以及附录- Algorithm Daquan book in the 30 chapter and appendix (in MATLAB) summary of commonly used mathematical algorithms introduced. Include: linear programming, nonlinear programming, dynamic programming, maps and networks, queuing theory, game theory, the Analytic Hierarchy Process, interpolation and fitting, the statistical description and analysis of the data analysis of variance, regression analysis, differential equations built mode, steady-state model, the solution of ordinary differential equations, differential equation model, Markov chain model, the model of the variational method, neural network model, partial differential equations, numerical solution, goal programming, fuzzy numerical model, modern optimization algorithms, time series models stored on the economic and financial optimization problems, optimization problems in production and service operations management, the gray system theory and its applications, multivariate analysis, partial least squares regression and Appe
Update : 2024-05-19 Size : 4254720 Publisher : 烈马
【Algorithm】 huiguifenxi DL : 0: 多变量回归分析的讲解，数据处理，以及一些研究范例等-Multivariate regression analysis to explain the data processing
Update : 2024-05-19 Size : 1709056 Publisher : 范翔宇
【Other】 PLS_TOOL DL : 0: 偏最小二乘法是一种新型的多元统计数据分析方法，这里给的是工具箱的说明书。-Partial least squares method is a new type of multivariate statistical data analysis method, here is the specification of the toolbox.
Update : 2024-05-19 Size : 417792 Publisher : sup
【matlab】 pls DL : 0: 最小二乘回归法（PLSR：partial least squares regression)：是一种新型的多元统计数据分析方法，它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。-Least squares regression (PLSR: partial least squares regression): a new type of multivariate statistical data analysis methods, the main research is more dependent variable regression modeling of multi-argument, especially when highly linear within each variable When using partial least squares regression method is more effective. In addition, partial least squares regression better solution to the problem of the number of samples is less than the number of variables.
Update : 2024-05-19 Size : 5120 Publisher : 雷
【2D Graphic】 Correl080 DL : 1: 　　本软件适合工程技术人员及学生进行数据分析。适用范围广、输入界面简单方便、功能模块实用强大、操作简便易懂。　　本软件可进行二元线性与非线性相关分析；多元线性与非线性相关分析；多元线性的相关矩阵分析；数理统计与误差分析；计算行列式的值、求解多元方程组；学习与研究函数的图形及特性；计算常用函数等等。例如：可对化验分析成果进行回归及误差分析、对地质物化探数据进行相关性分析、对测量数据进行误差分析、对社会调查数据进行统计分析等等。 -The software for engineering and technical personnel and students for data analysis. Wide range of applications, the input interface is simple and convenient, functional modules and practical powerful, simple to understand. This software can be binary linear and non-linear correlation analysis multivariate linear and nonlinear correlation analysis multivariate linear correlation matrix analysis Mathematical Statistics and error analysis calculate the value of the determinant, solving multiple equations learning and research functions graphics, and features calculations commonly used functions and so on. For example: results of laboratory analysis can regression and error analysis, geophysical and geochemical data for geological correlation analysis, error analysis of the measurement data, the social survey data for statistical analysis and so on.
Update : 2024-05-19 Size : 7806976 Publisher : Gao
【matlab】 multivariate-analysis DL : 0: multivariate analysis of load data in power system
Update : 2024-05-19 Size : 4096 Publisher : mortezza
【Other systems】 MV_EOF_G DL : 0: 计算多变量的经验正交函数分解，常用于海洋或气象的数据分析，简单易用。-Calculate multivariate empirical orthogonal function decomposition, commonly used in the ocean or meteorological data analysis.
Update : 2024-05-19 Size : 3072 Publisher : 范磊
【Algorithm】 Discriminant-analysis DL : 0: 判别分析又称“分辨法”，是在分类确定的条件下，根据某一研究对象的各种特征值判别其类型归属问题的一种多变量统计分析方法。其基本原理是按照一定的判别准则，建立一个或多个判别函数，用研究对象的大量资料确定判别函数中的待定系数，并计算判别指标。据此即可确定某一样本属于何类。-Discriminant analysis, also known as "distinguished law" is classified under the conditions established, a multivariate discriminant ownership of its type statistical analysis method based on the value of the various features of a research object. The basic principle is based on a certain criterion to establish one or more discriminant function to determine the discriminant function coefficients to be determined in the study of large amounts of data, and calculate the discrimination index. Accordingly to determine whether a sample belongs to any category.
Update : 2024-05-19 Size : 3072 Publisher : 黄毅
【matlab】 Multivariate_SST_code- DL : 0: 基于时频的多元数据同步挤压分析，变换的多变量时频表示的基础上，执行同步挤压。-When multivariate data base frequency synchronization squeeze analysis, multivariate conversion frequency representation based on the synchronization squeeze.
Update : 2024-05-19 Size : 30720 Publisher : vanir
【matlab】 multilda DL : 0: 多分类线性判别分析，主要用于近红外及红外光谱等多元数据的模式识别问题-Multi-classification linear discriminant analysis, mainly used for pattern recognition problems near infrared and infrared spectroscopy, multivariate data
Update : 2024-05-19 Size : 1024 Publisher : 陆宇振
【assembly language】 pls DL : 0: 偏最小二乘法是一种新型的多元统计数据分析方法，它于1983年由伍德(S.Wold)和阿巴诺(C.Albano)等人首次提出。近几十年来，它在理论、方法和应用方面都得到了迅速的发展。-Partial least squares method is a novel multivariate statistical data analysis method, which was first proposed in 1983 by the Wood (S.Wold) and Abano (C.Albano) et al. In recent decades, it is in theory, methods and applications have been developed rapidly.
Update : 2024-05-19 Size : 1024 Publisher : 肖青青
【Other】 leiling_v80 DL : 0: 利用最小二乘法进行拟合多元非线性方程，借鉴了主成分分析算法（PCA），用MATLAB实现动态聚类或迭代自组织数据分析。- Multivariate least squares fitting method of nonlinear equations, It draws on principal component analysis algorithm (PCA), Using MATLAB dynamic clustering or iterative self-organizing data analysis.
Update : 2024-05-19 Size : 5120 Publisher : 张翠来

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