Klusterointialgoritmien vertailu

Tutkielmassa tutustutaan ryhmittelyn perusteisiin, todennäköisyysmallipohjaisen sekä ei-parametrisen datan klusterointiin ja menetelmiin. Klusterointimenetelmistä käydään läpi: EM-algoritmi, k-means, k-medoids, k-modes ja k-prototypes. Tutkitaan millaisendatan käsittelyyn menetelmät soveltuvat ja mi...

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Bibliografiset tiedot
Päätekijä: Nättilä, Severi
Muut tekijät: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Kandityö
Kieli:fin
Julkaistu: 2021
Aiheet:
Linkit: https://jyx.jyu.fi/handle/123456789/76413
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author Nättilä, Severi
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Nättilä, Severi Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Nättilä, Severi Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Nättilä, Severi
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description Tutkielmassa tutustutaan ryhmittelyn perusteisiin, todennäköisyysmallipohjaisen sekä ei-parametrisen datan klusterointiin ja menetelmiin. Klusterointimenetelmistä käydään läpi: EM-algoritmi, k-means, k-medoids, k-modes ja k-prototypes. Tutkitaan millaisendatan käsittelyyn menetelmät soveltuvat ja miksi juuri niitä hyödynnetään ryhmittelyssä. The point of this study is to focus on the basics of clustering, probability model-based approaches and non-parametric approaches. The clustering methods that this study focuses on are: EM-algorithm, k-means, k-medoids, k-modes and k-prototypes. This study also focuses on how these methods are applied in clustering of data and why they are used.
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spellingShingle Nättilä, Severi Klusterointialgoritmien vertailu klusterointi GMM EM-algoritmi k-means k-medoids k-modes k-prototypes ohjaamaton oppiminen numeerinen data kategorinen data Tietotekniikka Mathematical Information Technology 602 data algoritmit matemaattiset menetelmät tiedonlouhinta hyödyntäminen
title Klusterointialgoritmien vertailu
title_full Klusterointialgoritmien vertailu
title_fullStr Klusterointialgoritmien vertailu Klusterointialgoritmien vertailu
title_full_unstemmed Klusterointialgoritmien vertailu Klusterointialgoritmien vertailu
title_short Klusterointialgoritmien vertailu
title_sort klusterointialgoritmien vertailu
title_txtP Klusterointialgoritmien vertailu
topic klusterointi GMM EM-algoritmi k-means k-medoids k-modes k-prototypes ohjaamaton oppiminen numeerinen data kategorinen data Tietotekniikka Mathematical Information Technology 602 data algoritmit matemaattiset menetelmät tiedonlouhinta hyödyntäminen
topic_facet 602 EM-algoritmi GMM Mathematical Information Technology Tietotekniikka algoritmit data hyödyntäminen k-means k-medoids k-modes k-prototypes kategorinen data klusterointi matemaattiset menetelmät numeerinen data ohjaamaton oppiminen tiedonlouhinta
url https://jyx.jyu.fi/handle/123456789/76413 http://www.urn.fi/URN:NBN:fi:jyu-202106103622
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