Latvijas teritoriju klasteranalīze veselības apdrošināšanas kontekstā
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Latvijas Universitāte
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lav
Abstract
Darbs veltīts populārāko klasteranalīzes metožu apskatei un to pielietojumam Latvijas uzņēmumu teritoriju klasteru noteikšanā, pamatojoties uz sociāldemogrāfiskiem un ekonomiskiem rādītājiem. Darbā aprakstīti veselības apdrošināšanas aspekti juridiskām personām Latvijā, apskatīta galveno komponentu analīze, kā arī k- vidējo un hierarhiskā klasterizācijas metodes. Veikta analīze Latvijas teritoriju klasteru noteikšanai veselības apdrošināšanas kontekstā. Darba rezultātā iegūtās teritoriju grupas ļaus apdrošinātājiem precīzāk segmentēt tirgu un izvērtēt riska profilu atšķirības.
This work is devoted to examining the most popular cluster analysis methods and their application in determining territorial clusters of Latvian companies based on socio-demographic and economic indicators. The paper describes health insurance in Latvia for legal entities, examines principal component analysis as well as k-means and hierarchical clustering methods. An analysis is performed for determining territorial clusters in Latvia in the context of health insurance. The territorial groups obtained as a result of the work will allow insurers to segment the market more accurately and evaluate differences in risk profiles.
This work is devoted to examining the most popular cluster analysis methods and their application in determining territorial clusters of Latvian companies based on socio-demographic and economic indicators. The paper describes health insurance in Latvia for legal entities, examines principal component analysis as well as k-means and hierarchical clustering methods. An analysis is performed for determining territorial clusters in Latvia in the context of health insurance. The territorial groups obtained as a result of the work will allow insurers to segment the market more accurately and evaluate differences in risk profiles.