Data Mining Algorithms for Knowledge Extraction

Stancu Ana-Maria Ramona (), Cristescu Marian Pompiliu () and Miglena Stoyanova
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Stancu Ana-Maria Ramona: “Spiru Haret” University of Bucharest
Cristescu Marian Pompiliu: “Lucian Blaga” University of Sibiu

Chapter Chapter 20 in Challenges and Opportunities to Develop Organizations Through Creativity, Technology and Ethics, 2020, pp 349-357 from Springer

Abstract: Abstract In this paper, we study the methods, techniques, and algorithms used in data mining, and from the studied algorithms, we emphasized the clustering algorithms, more precisely on the K-means algorithm. This algorithm was first studied using the Euclidean distance, then modifying the distance between the clusters using the distances Mahalanobis and Canberra. After implementing the algorithms in C/C++, we compared the clustering of the three algorithms, after which we modified them and studied the distance between the clusters.

Keywords: Algorithm; Attribute; Clustering; Matrix; Value (search for similar items in EconPapers)
JEL-codes: C63 C88 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-43449-6_20

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DOI: 10.1007/978-3-030-43449-6_20

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