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								<title><![CDATA[Review of Basic Concelpts in Multivaiate Data}]]></title>
								<link>/bbs/yschoi/2540/1457254/artclView.do?layout=unknown</link>
								<pubDate>2025-08-06 15:31:28.76</pubDate>
								<author>최용석</author>
								<description><![CDATA[ ]]></description>
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								<title><![CDATA[Welcome and Introduction to Multivariate Statistics(I)}]]></title>
								<link>/bbs/yschoi/2540/1457253/artclView.do?layout=unknown</link>
								<pubDate>2020-03-12 09:15:11.19</pubDate>
								<author>최용석</author>
								<description><![CDATA[In Multivariate Statistics (I) with R, our aim is to learn some statistical analysis and visualization techniques : Principal Component Analysis (PCA), Factor Analysis (FA), Cluster Analysis (CA) for multivariate data which are measuring the various social present situations by many variables and ob]]></description>
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								<title><![CDATA[Lecture 1. Multivariate Data Analysis (MDA)}]]></title>
								<link>/bbs/yschoi/2540/1457252/artclView.do?layout=unknown</link>
								<pubDate>2016-02-29 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[1.1.Multivariate data analysis1.2 Types of multivariate analysis techniques1.3Introduction and visualization of multivariate data1.4 Matrix representation and descriptive statistics of multivariatedata1.5Distances and Correlation of multivariate data1.6 Multivariate normal distribution and its usefu]]></description>
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								<title><![CDATA[Reference: P.C. Mahalanobis, K. Pearson, and R.A. Fisher}]]></title>
								<link>/bbs/yschoi/2540/1457251/artclView.do?layout=unknown</link>
								<pubDate>2015-03-10 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Mahalanobis was an Indian scientist and applied statistician.Perason established the discipline of mathematical statistics.Fisher was an idealist, committed to the establishment of truth, andthe advancement of mankind.]]></description>
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								<title><![CDATA[Lecture 5.  Cluster Analysis (CA)}]]></title>
								<link>/bbs/yschoi/2540/1457250/artclView.do?layout=unknown</link>
								<pubDate>2014-12-19 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[5. Cluster Analysis (CA)  5.1 Comprehension ofCA5.2 Association measures5.3 Hierarchicalclustering methods5.4 Non-hierarchical clustering methods5.5 Numbers ofClusters5.6 CA based on the statistical models5.7 R for CA :Practice Time ]]></description>
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								<title><![CDATA[Lecture 3.  Factor Analysis (FA)}]]></title>
								<link>/bbs/yschoi/2540/1457249/artclView.do?layout=unknown</link>
								<pubDate>2014-12-19 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[3.1 Comprehension of FA3.2Concept of common factor3.3 Factor model3.4Estimation of factor model3.5 Factor rotation andfactor loadings plot3.6Application of factor scores3.7 Visualizations of FA3.8R for FA : Practice Time  ]]></description>
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								<title><![CDATA[Lecture 2. Principal Component Analysis (PCA)}]]></title>
								<link>/bbs/yschoi/2540/1457248/artclView.do?layout=unknown</link>
								<pubDate>2014-12-19 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[2.1 Comprehension of PCA 2.2Concepts of PCs2.3 Algebraic derivation ofPCs2.4Selection and goodness-of-fit of PCs2.5 Algebraic derivation of sample PCs2.6Visualizations of PCA2.7 R for PCA : PracticeTime  ]]></description>
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