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	<id>https://wiki.statsape.com/index.php?action=history&amp;feed=atom&amp;title=%E5%A4%9A%E9%87%8D%E5%AF%B9%E5%BA%94%E5%88%86%E6%9E%90</id>
	<title>多重对应分析 - 版本历史</title>
	<link rel="self" type="application/atom+xml" href="https://wiki.statsape.com/index.php?action=history&amp;feed=atom&amp;title=%E5%A4%9A%E9%87%8D%E5%AF%B9%E5%BA%94%E5%88%86%E6%9E%90"/>
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	<updated>2026-05-15T12:53:06Z</updated>
	<subtitle>本wiki上该页面的版本历史</subtitle>
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	<entry>
		<id>https://wiki.statsape.com/index.php?title=%E5%A4%9A%E9%87%8D%E5%AF%B9%E5%BA%94%E5%88%86%E6%9E%90&amp;diff=6134&amp;oldid=prev</id>
		<title>2024年1月19日 (五) 11:24 Zeroclanzhang</title>
		<link rel="alternate" type="text/html" href="https://wiki.statsape.com/index.php?title=%E5%A4%9A%E9%87%8D%E5%AF%B9%E5%BA%94%E5%88%86%E6%9E%90&amp;diff=6134&amp;oldid=prev"/>
		<updated>2024-01-19T11:24:48Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;←上一版本&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;2024年1月19日 (五) 19:24的版本&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l7&quot;&gt;第7行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第7行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|productionstatedesc=在[[Update:DecisionLinnc 1.0.2.0|V1.0.2]]部署&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|productionstatedesc=在[[Update:DecisionLinnc 1.0.2.0|V1.0.2]]部署&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
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&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|abbreviation=&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;[[Has abbreviation::&lt;/del&gt;MCA&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;]]&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|abbreviation=MCA&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|funcmaincategory=数据分析&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|funcmaincategory=数据分析&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|funcsubcategory=[[DataAGM Lv1 Cat::多元分析]]&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|funcsubcategory=[[DataAGM Lv1 Cat::多元分析]]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l27&quot;&gt;第27行：&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;第27行：&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|nextnode=[[筛查自变量共线性]]&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|nextnode=[[筛查自变量共线性]]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;}}&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;}}&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-deleted&quot;&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br/&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br/&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br/&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br/&gt;&lt;/td&gt;&lt;/tr&gt;

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&lt;/table&gt;</summary>
		<author><name>Zeroclanzhang</name></author>
	</entry>
	<entry>
		<id>https://wiki.statsape.com/index.php?title=%E5%A4%9A%E9%87%8D%E5%AF%B9%E5%BA%94%E5%88%86%E6%9E%90&amp;diff=5350&amp;oldid=prev</id>
		<title>Zeroclanzhang：​创建页面，内容为“{{Infobox nodebasic  |nodename=多重对应分析 |nodeimage=Multiple Correspondence Analysis.png |icon=Multiple Correspondence Analysis.svg |simpleicon=Multiple Correspondence Analysis_Pure.svg |developer=Dev.Team-DPS |productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用 |productionstatedesc=在V1.0.2部署 |nodeenglishname=Has english name::Multiple Correspondence Analysis |abbreviation=Has ab…”</title>
		<link rel="alternate" type="text/html" href="https://wiki.statsape.com/index.php?title=%E5%A4%9A%E9%87%8D%E5%AF%B9%E5%BA%94%E5%88%86%E6%9E%90&amp;diff=5350&amp;oldid=prev"/>
		<updated>2024-01-18T14:22:03Z</updated>

		<summary type="html">&lt;p&gt;创建页面，内容为“{{Infobox nodebasic  |nodename=多重对应分析 |nodeimage=Multiple Correspondence Analysis.png |icon=Multiple Correspondence Analysis.svg |simpleicon=Multiple Correspondence Analysis_Pure.svg |developer=Dev.Team-DPS |productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用 |productionstatedesc=在&lt;a href=&quot;/index.php?title=Update:DecisionLinnc_1.0.2.0&amp;amp;action=edit&amp;amp;redlink=1&quot; class=&quot;new&quot; title=&quot;Update:DecisionLinnc 1.0.2.0（页面不存在）&quot;&gt;V1.0.2&lt;/a&gt;部署 |nodeenglishname=&lt;a href=&quot;/index.php?title=Has_english_name::Multiple_Correspondence_Analysis&amp;amp;action=edit&amp;amp;redlink=1&quot; class=&quot;new&quot; title=&quot;Has english name::Multiple Correspondence Analysis（页面不存在）&quot;&gt;Has english name::Multiple Correspondence Analysis&lt;/a&gt; |abbreviation=Has ab…”&lt;/p&gt;
&lt;p&gt;&lt;b&gt;新页面&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Infobox nodebasic &lt;br /&gt;
|nodename=多重对应分析&lt;br /&gt;
|nodeimage=Multiple Correspondence Analysis.png&lt;br /&gt;
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|developer=Dev.Team-DPS&lt;br /&gt;
|productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用&lt;br /&gt;
|productionstatedesc=在[[Update:DecisionLinnc 1.0.2.0|V1.0.2]]部署&lt;br /&gt;
|nodeenglishname=[[Has english name::Multiple Correspondence Analysis]]&lt;br /&gt;
|abbreviation=[[Has abbreviation::MCA]]&lt;br /&gt;
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|funcsubcategory=[[DataAGM Lv1 Cat::多元分析]]&lt;br /&gt;
|nodecategory=数据挖掘&lt;br /&gt;
|nodeinterpretor=R&lt;br /&gt;
|nodeshortdescription=&amp;lt;p&amp;gt;多重对应分析用于探索多个分类变量(通常3个以上)之间的关系。MCA将多个分类变量组合成一个多维空间，使得每个变量在该空间中对应一个点，而每个数据点则由变量的取值所决定。MCA通常用于探索分类变量之间的相互作用和依赖性，以便发现变量之间的模式和结构。&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;用途：用于分类数据的统计技术，将高维度的分类数据降为二维或三维，提取主要维度，简化数据结构。&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;参数：选择多个分类字符串自变量。&amp;lt;/p&amp;gt;&lt;br /&gt;
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|nodeloopsupport=是&lt;br /&gt;
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|nodeavailableplotlist=ScatterTapeTextPlot&lt;br /&gt;
|nodeavailabletablelist=Stats-Value;Eigenvalue&lt;br /&gt;
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|nodeinputports=WorkFlow-Control ➤;Transfer-Variable ◆;Transfer-Table ■&lt;br /&gt;
|nodeoutputports=WorkFlow-Control ➤;Transfer-Table ■&lt;br /&gt;
|statsapewikiurl=https://wiki.statsape.com/多重对应分析&lt;br /&gt;
|previousnode=[[信度分析]]&lt;br /&gt;
|nextnode=[[筛查自变量共线性]]&lt;br /&gt;
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{{Navplate AlgorithmNodeList}}&lt;br /&gt;
&lt;br /&gt;
[[Category:多元分析]]&lt;/div&gt;</summary>
		<author><name>Zeroclanzhang</name></author>
	</entry>
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