Ārstniecisko tēju analīze izmantojot PCA un hierarhiskās klasterizācijas metodes

6533b829fe1ef96bd128a799

RESEARCH PRODUCT

Ārstniecisko tēju analīze izmantojot PCA un hierarhiskās klasterizācijas metodes

Jānis Jumītis

subject

HIERARHISKĀ KLASTERIZĀCIJA KLASTERU ANALĪZE PRINCIPIĀLO KOMPONENTU ANALĪZE ĀRSTNIECIKSO AUGU TĒJAS KEMOMETRIJA Ķīmija

description

Ārstniecisko tēju analīze izmantojot PCA un hierarhiskās klasterizācijas metodes. Maģistra darbs uzrakstīts latviešu valodā, tā apjoms ir 69 lapaspuses. Darbs satur 6 tabulas, 38 attēlus, 4 pielikumus un tajā izmantoti 52 literatūras avoti. Maģistra darba literatūras apskatā sniegta informācija par ārstniecisko augu un to infūziju elementsastāva un organiskā sastāva analīzes metodēm, hierarhisko klasterizāciju un metodēm ar kuru palīdzību klasteri tiek veidoti. Sniegta arī informācija par lineārām un nelineārām datu dimensionalitātes samazināšanas metodēm. Literatūras apskatā izmantota zinātniskā literatūra laika periodā no 1992. līdz 2020. gadam. Eksperimentālajā daļā ir veikta pelašķu, bērza pumpuru, kumelīšu, klinģerīšu, liepziedu un karkādes tēju Furjē transformācijas infrasarkanās spektroskopijas analīze. Daļai tēju ir veikta arī AEŠH-MS analīze. Dati apstrādāti izmantojot principiālo komponentu analīzi un hierarhisko klasterizāciju. Apkopojot un izvērtējot iegūtos rezultātus, ir aprakstīts iepriekšminēto metožu pielietojums ārstniecisko tēju identificēšanai.

year	journal	country	edition	language
2021-01-01

https://dspace.lu.lv/dspace/handle/7/55143

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