Sammon mapping (also known as Sammon projection) is an algorithm that maps a high dimensional data to lower dimensional data by preserving the structure of inter point distances in the original data.
This article presents the motivation and concepts behind Sammon Mapping and how it is better than Principal Component Analysis
Read the article on Sammon Mapping
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This is a companion discussion topic for the original entry at http://iq.opengenus.org/principle-of-sammon-mapping/