HIGH-DIMENSIONAL CLUSTERING OF ELECTRIC CONSUMER DATA IN R PROGRAMMING LANGUAGE
DOI:
https://doi.org/10.24867/07BE40IlijazovicKeywords:
Clustering, Machine Learning, R Programming LanguageAbstract
In this work it will be shown how data clustering of Consumer Load Profiles in R programming language performs, opposed to same implementation in .NET framework. Programming language R alongside with its libraries that have been used for this implementation has been described. The reason of why data clustering is used has also been described with methods of machine learning.
References
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[2] Csaba Legány, Sándor Juhász and Attila Babos; “Cluster Validity Measurement Techniques”; Proceedings of the 5th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases, Madrid, Spain, February 15-17, 2006 (pp388-393)
[3] Altman, N. S. (1992). "An introduction to kernel and nearest-neighbor nonparametric regression". The American Statistician. 46 (3): 175–185. doi:10.1080/00031305.1992.10475879. hdl:1813/31637
[4] TIOBE Index - The Software Quality Company, TIOBE, https://www.tiobe.com/tiobe-index/ (приступљено октобра 2019.)
[2] Csaba Legány, Sándor Juhász and Attila Babos; “Cluster Validity Measurement Techniques”; Proceedings of the 5th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases, Madrid, Spain, February 15-17, 2006 (pp388-393)
[3] Altman, N. S. (1992). "An introduction to kernel and nearest-neighbor nonparametric regression". The American Statistician. 46 (3): 175–185. doi:10.1080/00031305.1992.10475879. hdl:1813/31637
[4] TIOBE Index - The Software Quality Company, TIOBE, https://www.tiobe.com/tiobe-index/ (приступљено октобра 2019.)
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Published
2020-03-03
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Section
Electrotechnical and Computer Engineering
