Improvement of key feature mining algorithm for sports injury data based on LOF enhanced k-means and sparse PCA

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Title:	Improvement of key feature mining algorithm for sports injury data based on LOF enhanced k-means and sparse PCA
Authors:	ID Shang, Tanwei (Author)
Files:	This document has no files. This document may have a physical copy in the library of the organization, check the status via COBISS.
Language:	English
Organization:	SDI - Slovenian Society Informatika
Keywords:	local outlier factor, principal component analysis, k-means
Publication date:	01.01.2025
Year of publishing:	2025
Number of pages:	str. 49-64
Numbering:	Vol. 49, no. 8
PID:	20.500.12556/DiRROS-27062
UDC:	004.85:621.31
ISSN on article:	1854-3871
DOI:	10.31449/inf.v49i8.7230
COBISS.SI-ID:	237263875
Note:	Nasl. z nasl. zaslona; Opis vira z dne 27. maj 2025;
Publication date in DiRROS:	28.01.2026
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Title:	Informatica : an international journal of computing and informatics
Publisher:	Informatika
ISSN:	1854-3871
COBISS.SI-ID:	223739648

Language:	Slovenian
Keywords:	umetna inteligenca, PCA algoritem, LOF algoritem, razvrščanje, športni dosežki, športne poškodbe, preventiva

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