A Computer-graphics Separation Algorithm For Pattern Classification And Cluster Analysis. - Info and Reading Options
By Lauzon, Gilbert Paul
"A Computer-graphics Separation Algorithm For Pattern Classification And Cluster Analysis." and the language of the book is English.
“A Computer-graphics Separation Algorithm For Pattern Classification And Cluster Analysis.” Metadata:
- Title: ➤ A Computer-graphics Separation Algorithm For Pattern Classification And Cluster Analysis.
- Author: Lauzon, Gilbert Paul
- Language: English
“A Computer-graphics Separation Algorithm For Pattern Classification And Cluster Analysis.” Subjects and Themes:
- Subjects: pattern classification - cluster analysis - discriminant function - computer graphics - man-machine
Edition Identifiers:
- Internet Archive ID: acomputergraphic1094516531
AI-generated Review of “A Computer-graphics Separation Algorithm For Pattern Classification And Cluster Analysis.”:
"A Computer-graphics Separation Algorithm For Pattern Classification And Cluster Analysis." Description:
The Internet Archive:
A separation algorithm applicable to the pattern classification and cluster analysis of n-dimensional (n > 2) data is presented. The algorithm reduces the dimensionality of the problem by projecting each point into a plane. This plane is presented to the user on a computer graphics console screen. The operator picks a point on the screen with a lightpen and chooses a \"direction of movement\" to achieve or increase separation, thereby causing an iteration of the algorithm. Each iteration is in fact a reorientation of the plane into which the data points are projected. Iterations continue until satisfactory separation is achieved. The algorithm is not restricted by the dimensionality of the data, nor are any distributional assumptions required. Results from six case studies indicate that the algorithm is a useful tool for the analysis of multidimensional data.
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"A Computer-graphics Separation Algorithm For Pattern Classification And Cluster Analysis." is available for download from The Internet Archive in "texts" format, the size of the file-s is: 162.81 Mbs, and the file-s went public at Sun Jan 31 2021.
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- Internet Archive Link: Archive.org page
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