Published in matho.philica.com
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.
Information about this Article
This Article has not yet been peer-reviewed
This Article was published on 22nd June, 2016 at 12:13:31 and has been viewed 1109 times.
This work is licensed under a Creative Commons Attribution 2.5 License.
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.
1 added 1st May, 2017 at 11:27:20
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.