type_glle.html
来自「一个由Mike Gashler完成的机器学习方面的includes neural」· HTML 代码 · 共 33 行
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<html><head><title>Generated Documentation</title></head><body> <image src="headerimage.png"> <br><br><table><tr><td><big><big><big style="font-family: arial;"><b>GLLE</b></big></big></big><br><br></td><td> Local Linear Embedding</td></tr></table><br><br><big><big><i>Statics (public)</i></big></big><br><div style="margin-left: 40px;"><a href="type_GArffData.html">GArffData</a>* <big><b>DoLLE</b></big>(<a href="type_GArffRelation.html">GArffRelation</a>* pRelation, <a href="type_GArffData.html">GArffData</a>* pData, int nNeighbors)<br><div style="margin-left: 80px;"><font color=brown> Performs LLE analysis on the input dimensions of the data. It doesn't drop any dimensions, it just pushes most of the data into the first several input dimensions. You are repsonsible to delete the data set this returns. Output dimensions are copied straight across.</font></div><br></div><br><big><big><i>Constructors (non-public)</i></big></big><br><div style="margin-left: 40px;"><big><b>GLLE</b></big>(<a href="type_GArffRelation.html">GArffRelation</a>* pRelation, <a href="type_GArffData.html">GArffData</a>* pData, int nNeighbors)<br></div><br><big><big><i>Destructors</i></big></big><br><div style="margin-left: 40px;"><big><b>~GLLE</b></big>()<br></div><br><big><big><i>Protected</i></big></big><br><div style="margin-left: 40px;">void <big><b>ComputeEmbedding</b></big>()<br>void <big><b>ComputeWeights</b></big>()<br><a href="type_GArffData.html">GArffData</a>* <big><b>DropOutputData</b></big>()<br>void <big><b>FindNeighbors</b></big>()<br>void <big><b>FindNeighborsTheSlowWay</b></big>()<br></div><br></body></html>⌨️ 快捷键说明
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