The Modified International Standard Classification of Occupations defined by the clustering of occupational characteristics in the Korean Working Conditions Survey

The modified International Standard Classification of Occupations (ISCO) has been used empirically to report or investigate working conditions or worker status. We used principal component analysis and k-means clustering to analyze the working population based on 67 occupational characteristics amon...

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Veröffentlicht in:	Industrial Health 2020, Vol.58(2), pp.132-141
Hauptverfasser:	CHOI, Soo Beom, YOON, Jin-Ha, LEE, Wanhyung
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Aged Aged, 80 and over Agricultural management Classification Cluster Analysis Clustering Clustering analysis Ergonomics Evaluation Fisheries Forestry Humans Identification and classification International Standard Classification of Occupations International standards Korea Korean Working Conditions Survey Middle Aged Occupation Occupational Exposure - statistics & numerical data Occupational Health - statistics & numerical data Occupations Occupations - classification Original Polls & surveys Principal Component Analysis Principal components analysis Republic of Korea - epidemiology Technicians Vector quantization Workers Working conditions
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