1 / 3

Original photographer unknown See also www.cs.gmu.edu/~ jessica/DimReducDanger.htm (c) eamonn keo

While dimensionality reduction is an important tool in machine learning/data mining, we must always be aware that it can distort the data in misleading ways. Above is a two dimensional projection of an intrinsically three dimensional world…. Original photographer unknown

meriel
Télécharger la présentation

Original photographer unknown See also www.cs.gmu.edu/~ jessica/DimReducDanger.htm (c) eamonn keo

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. While dimensionality reduction is an important tool in machine learning/data mining, we must always be aware that it can distort the data in misleading ways. Above is a two dimensional projection of an intrinsically three dimensional world….

  2. Original photographer unknown See also www.cs.gmu.edu/~jessica/DimReducDanger.htm (c) eamonnkeogh

  3. Screen dumps of a short video from www.cs.gmu.edu/~jessica/DimReducDanger.htm I recommend you imbed the original video instead A cloud of points in 3D Can be projected into 2D XY or XZ or YZ In 2D XZ we see a triangle In 2D YZ we see a square In 2D XYwe see a circle

More Related