Bagadi, R. (2016). Proof Of As To Why The Euclidean Inner Product Is A Good Measure Of Similarity Of Two Vectors. PHILICA.COM Article number 626.
Proof Of As To Why The Euclidean Inner Product Is A Good Measure Of Similarity Of Two Vectors

Ramesh Chandra Bagadiunconfirmed user (Physics, Engineering Mechanics, Civil & Environmental Engineering, University of Wisconsin)

Published in matho.philica.com

Abstract
In this research monograph, a novel type of Colloquial Definition of Euclidean Inner Product and Outer Product is advented. Based on this definition, the author consequently presents a Proof Of As To Why The Euclidean Inner Product Is A Good Measure Of Similarity Of Two Vectors.

 

 

 

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This Article has not yet been peer-reviewed

Published on Wednesday 22nd June, 2016 at 12:13:31.

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The full citation for this Article is:
Bagadi, R. (2016). Proof Of As To Why The Euclidean Inner Product Is A Good Measure Of Similarity Of Two Vectors. PHILICA.COM Article number 626.

Author comment added 1st May, 2017 at 11:27:20

Addendum 1:

Author: Ramesh Chandra Bagadi

From this, we can note that the author’s concept of Similarity of just two numbers is the Smaller among the two given Numbers. In a situation akin to Normalization, the Normalized Similarity Co-efficient of just two Numbers is the Ratio of the Smaller Number by the Larger Number. The author likes to Name this Normalized Similarity Co-efficient of just two Numbers as ‘The Ananda-Damayanthi Normalized Similarity Co-efficient’, after the names of the author’s Father and Mother.




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