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Bagadi, R. (2017). Using the Appropriate Norm In The K-Nearest Neighbours Analysis. ISSN 1751-3030. PHILICA.COM Observation number 173.

ISSN 1751-3030  
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Using the Appropriate Norm In The K-Nearest Neighbours Analysis. ISSN 1751-3030

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

Published in compu.philica.com

Observation
Using the Appropriate Norm In The K-Nearest Neighbours Analysis

Author:
Ramesh Chandra Bagadi
Data Scientist
INSOFE (International School Of Engineering),
Hyderabad, India.
rameshcbagadi@uwalumni.com
+91 9440032711

One can note that in most literature about K-Nearest Neighbours Analysis, the author’s usually take the Euclidean Distance (the L2 Norm) for the nearness analysis. However, we should know that not all Sets under investigation are continuous in nature and some take quantized values. Hence, for a given set of points, we should first find the quantized field function which gives the set of concern as its eigen spectra. For such Quantum Field function, we can construct the appropriate Metric that satisfies the given set of points. Now from this Metric, we can construct the appropriate Norm for considering the Nearness Analysis.

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This Observation has not yet been peer-reviewed
This Observation was published on 3rd July, 2017 at 11:28:12 and has been viewed 417 times.

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The full citation for this Observation is:
Bagadi, R. (2017). Using the Appropriate Norm In The K-Nearest Neighbours Analysis. ISSN 1751-3030. PHILICA.COM Observation number 173.


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