Multidimensional scaling using multilayer perceptron

Tämän tutkimuksen tarkoituksena on avata neuroverkon ja moniulotteisen skaalauksen käsitteitä sekä demonstroida kuinka näitä voidaan käyttää yhdessä. Tutkielmassa suoritetaan konstruktio, jossa MLP-verkko koulutetaan moniulotteisen skaalauksen keinoin suorittamaan dimension pienennystä. Algoritmia t...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Tuovinen, Tommi
Muut tekijät: Informaatioteknologian tiedekunta, Faculty of Information Technology, Tietotekniikan laitos, Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylän yliopisto
Aineistotyyppi: Pro gradu
Kieli:eng
Julkaistu: 2013
Aiheet:
Linkit: https://jyx.jyu.fi/handle/123456789/41889
_version_ 1828193125379604480
author Tuovinen, Tommi
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Tietotekniikan laitos Department of Mathematical Information Technology University of Jyväskylä Jyväskylän yliopisto
author_facet Tuovinen, Tommi Informaatioteknologian tiedekunta Faculty of Information Technology Tietotekniikan laitos Department of Mathematical Information Technology University of Jyväskylä Jyväskylän yliopisto Tuovinen, Tommi Informaatioteknologian tiedekunta Faculty of Information Technology Tietotekniikan laitos Department of Mathematical Information Technology University of Jyväskylä Jyväskylän yliopisto
author_sort Tuovinen, Tommi
datasource_str_mv jyx
description Tämän tutkimuksen tarkoituksena on avata neuroverkon ja moniulotteisen skaalauksen käsitteitä sekä demonstroida kuinka näitä voidaan käyttää yhdessä. Tutkielmassa suoritetaan konstruktio, jossa MLP-verkko koulutetaan moniulotteisen skaalauksen keinoin suorittamaan dimension pienennystä. Algoritmia testataan neljässä eri testitapauksessa. The objective of this thesis is to introduce the reader to the concepts of neural network and multidimensional scaling and to demonstrate how these two can be used together. The thesis introduces a construction in which a multilayer perceptron is trained by means of multidimensional scaling in order to perform dimensionality reduction. The algorithm is tested in four different test experiments.
first_indexed 2023-03-22T10:00:36Z
format Pro gradu
free_online_boolean 1
fullrecord [{"key": "dc.contributor.author", "value": "Tuovinen, Tommi", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2013-07-12T13:08:34Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2013-07-12T13:08:34Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2013", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.other", "value": "oai:jykdok.linneanet.fi:1272511", "language": null, "element": "identifier", "qualifier": "other", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/41889", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4m\u00e4n tutkimuksen tarkoituksena on avata neuroverkon ja\nmoniulotteisen skaalauksen k\u00e4sitteit\u00e4 sek\u00e4 demonstroida kuinka n\u00e4it\u00e4 voidaan k\u00e4ytt\u00e4\u00e4 yhdess\u00e4.\nTutkielmassa suoritetaan konstruktio, jossa MLP-verkko koulutetaan moniulotteisen skaalauksen\nkeinoin suorittamaan dimension pienennyst\u00e4. Algoritmia testataan nelj\u00e4ss\u00e4 eri testitapauksessa.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "The objective of this thesis is to introduce the reader to the concepts of neural network\nand multidimensional scaling and to demonstrate how these two can be used together.\nThe thesis introduces a construction in which a multilayer perceptron is trained by means\nof multidimensional scaling in order to perform dimensionality reduction. The algorithm is\ntested in four different test experiments.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted using Plone Publishing form by Tommi Tuovinen (tosatuov) on 2013-07-12 13:08:33.551593. Form: Pro gradu -lomake (1 tekij\u00e4) (https://kirjasto.jyu.fi/julkaisut/julkaisulomakkeet/pro-gradu-lomake-1-tekijae). JyX data:", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija@noreply.fi) on 2013-07-12T13:08:34Z\nNo. of bitstreams: 2\nURN:NBN:fi:jyu-201307122086.pdf: 637746 bytes, checksum: b336c32776e10c94f4b661adf0ab2c4c (MD5)\nlicense.html: 107 bytes, checksum: a7d86e598caa500b1b433bbb9dc8ef1c (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2013-07-12T13:08:34Z (GMT). No. of bitstreams: 2\nURN:NBN:fi:jyu-201307122086.pdf: 637746 bytes, checksum: b336c32776e10c94f4b661adf0ab2c4c (MD5)\nlicense.html: 107 bytes, checksum: a7d86e598caa500b1b433bbb9dc8ef1c (MD5)\n Previous issue date: 2013", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "1 verkkoaineisto.", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "multidimensional scaling", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "neural network", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "dimensionality reduction", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "multilayer perceptron", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "visualization", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Multidimensional scaling using multilayer perceptron", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201307122086", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Tietotekniikan laitos", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Department of Mathematical Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.date.updated", "value": "2013-07-12T13:08:34Z", "language": null, "element": "date", "qualifier": "updated", "schema": "dc"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "602", "language": null, "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "neuroverkot", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "visualisointi", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.type.okm", "value": "G2", "language": null, "element": "type", "qualifier": "okm", "schema": "dc"}]
id jyx.123456789_41889
language eng
last_indexed 2025-03-31T20:02:43Z
main_date 2013-01-01T00:00:00Z
main_date_str 2013
online_boolean 1
online_urls_str_mv {"url":"https:\/\/jyx.jyu.fi\/bitstreams\/c063bfb5-8f4a-43a8-83a1-50687e567254\/download","text":"URN:NBN:fi:jyu-201307122086.pdf","source":"jyx","mediaType":"application\/pdf"}
publishDate 2013
record_format qdc
source_str_mv jyx
spellingShingle Tuovinen, Tommi Multidimensional scaling using multilayer perceptron multidimensional scaling neural network dimensionality reduction multilayer perceptron visualization Tietotekniikka Mathematical Information Technology 602 neuroverkot visualisointi
title Multidimensional scaling using multilayer perceptron
title_full Multidimensional scaling using multilayer perceptron
title_fullStr Multidimensional scaling using multilayer perceptron Multidimensional scaling using multilayer perceptron
title_full_unstemmed Multidimensional scaling using multilayer perceptron Multidimensional scaling using multilayer perceptron
title_short Multidimensional scaling using multilayer perceptron
title_sort multidimensional scaling using multilayer perceptron
title_txtP Multidimensional scaling using multilayer perceptron
topic multidimensional scaling neural network dimensionality reduction multilayer perceptron visualization Tietotekniikka Mathematical Information Technology 602 neuroverkot visualisointi
topic_facet 602 Mathematical Information Technology Tietotekniikka dimensionality reduction multidimensional scaling multilayer perceptron neural network neuroverkot visualisointi visualization
url https://jyx.jyu.fi/handle/123456789/41889 http://www.urn.fi/URN:NBN:fi:jyu-201307122086
work_keys_str_mv AT tuovinentommi multidimensionalscalingusingmultilayerperceptron