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/* 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 Academi
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A.1 Copyright and Software License
A.2 Dependencies between Macros
A.3 Data Acquisition and Integration
A.3.1 Macro TBRollup()
A.3.2 Macro ABRollup()
A.3.3 Macro VarMode()
A.3.4 Macro MergeDS()
A.3.5 Macro ContcatDS()
A.4 Integrity
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用MATLAB进行探索数据分析，理论和应用同时介绍，并在书中列出不少MATLAB实现的例子-Exploratory Data Analysis with MATLAB, introduce exploratory data analysis methods and algorithms
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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
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Clustering is the unsupervised classification of patterns (observations, data items,
or feature vectors) into groups (clusters). The clustering problem has been
addressed in many contexts and by researchers in many disciplines this reflects its
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Clustering is the unsupervised classification of patterns (observations, data items,
or feature vectors) into groups (clusters). The clustering problem has been
addressed in many contexts and by researchers in many disciplines this reflects its
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0下载：
Clustering is the unsupervised classification of patterns (observations, data items,
or feature vectors) into groups (clusters). The clustering problem has been
addressed in many contexts and by researchers in many disciplines this reflects its
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本文主要讲述的是地统计分析，包括地统计基础、探索性数据分析、空间确定性插值。-This article is about to statistical analysis, including in statistical base, exploratory data analysis, spatial interpolation uncertainty.
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本书主要讲述了以健身调查数据示范数据的清理和准备、多元回归分析.、用美国经济数据构建二阶最小二乘模型、以心理学数据为例示范探索性因子分析-This book focuses on the health survey data to model the data cleaning and preparation, multiple regression analysis, with building a second U.S. economic data, least squares models
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ephi是一款开源免费跨平台基于JVM的复杂网络分析软件, 其主要用于各种网络和复杂系统，动态和分层图的交互可视化与探测开源工具。可用作：探索性数据分析，链接分析，社交网络分析，生物网络分析等。
gephi是一款信息数据可视化利器。-ephi is a free open source cross-platform JVM based complex network analysis software, which is mainly used for a variety of networ
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探索性数据分析"Exploratory Data Analysis"的第三章-Chapter 3 of Exploratory Data Analysis
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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,
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聚类分析是一种探索性的分析，在分类的过程中，人们不必事先给出一个分类的标准，聚类分析能够从样本数据出发，自动进行分类。聚类分析所使用方法的不同，常常会得到不同的结论。不同研究者对于同一组数据进行聚类分析，所得到的聚类数未必一致(Clustering analysis is an exploratory analysis. In the process of classification, people do not have to give a classification standard i
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