Software reuse in a paralysis dataset based on categorical clustering and the Pearson distribution-Reference-Cited by-同舟云学术

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Software reuse in a paralysis dataset based on categorical clustering and the Pearson distribution

Published:2014-09 Issue:3 Volume:26 Page:347-354
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Bhanu Sridhar M.,Srinivas Y.,Krishna Prasad M.H.M.

Publisher

Elsevier BV

Subject

General Computer Science

Reference22 articles.

1. Measuring software coupling;Alghamdi;Arabian J. Sci. Eng.,2008

2. Software reuse in cardiology related medical database using K-means clustering technique;Bhanu Sridhar;J. Software Eng. Appl.,2012

3. Maria C., Nascimento et al., A Hybrid Heuristic for the K-Medoids Clustering Problem, GECCO ’12, July 7–11, 2012, Philadelphia, Pennsylvania, USA.

4. Christopher & Dana Reeve Foundation, Paralysis Resource Center, , 21/8/2012.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. autoFPR: An Efficient Automatic Approach for Facial Paralysis Recognition Using Facial Features;International Journal on Artificial Intelligence Tools;2023-03

2. Applications of Multi-agent Systems in Intelligent Health Care;Springer Tracts in Human-Centered Computing;2022

3. Feature Vector Based Component Clustering for Software Reuse;Proceedings of the Fourth International Conference on Engineering & MIS 2018 - ICEMIS '18;2018

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