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Image . 2012
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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License: CC BY
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Figure3. Apcs A1-A4 Connected Within Range Of Cohesion-Factor-Threshold Form Members Of One Arb-Aiden: A Density Conscious Artificial Immune System For Automatic Discovery Of Arbitrary Shape Clusters In Spatial Patterns

appsOther research productkeyboard_double_arrow_right Image 01 Jul 2012 English Publisher:Zenodo
Authors: Vishwambhar Pathak; Dhyani, Praveen; Mahanti, Prabhat;

doi: 10.5281/zenodo.1161467 , 10.5281/zenodo.1161468

Figure3. Apcs A1-A4 Connected Within Range Of Cohesion-Factor-Threshold Form Members Of One Arb-Aiden: A Density Conscious Artificial Immune System For Automatic Discovery Of Arbitrary Shape Clusters In Spatial Patterns

Abstract

Figure3 depicts this process. The model with the above specification then effectively detects self or non-self pathogens. In terms of its application to the task of clustering, this interpretation means making the affinities high within clusters and low across clusters. A pathogen corresponding to an outlier would not stimulate a TCR sufficiently and may not form part of any ARB.

https://www.edusoft.ro/brain/index.php/brain/issue/view/23

Related Organizations
Keywords

spatial patterns, Artificial Immune System, Density Based Clustering;

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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