Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/179410
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dc.contributor.authorBlanco Portals, Javier-
dc.contributor.authorPeiró Martínez, Francisca-
dc.contributor.authorEstradé Albiol, Sònia-
dc.date.accessioned2021-07-28T10:35:51Z-
dc.date.available2021-07-28T10:35:51Z-
dc.date.issued2021-07-28-
dc.identifier.urihttp://hdl.handle.net/2445/179410-
dc.description.abstractThis notebook exemplifies the combined use of dimensionality reduction techinques and clustering analysis strategies showcased in - Strategies for EELS data analysis. Dimensionality reduction and clustering analysis. Introducing UMAP and HDBSCAN -ca
dc.format.mimetypetext/plain-
dc.language.isoengca
dc.rightscc-by-nc- (c) Universitat de Barcelona., 2021-
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.sourceProgramari (Enginyeria Electrònica i Biomèdica)-
dc.subject.classificationProgramaricat
dc.subject.classificationEstructura electrònicacat
dc.subject.otherComputer softwareeng
dc.subject.otherElectronic structureeng
dc.titleData treatment proceedures for EELS analysis combining dimensionality reduction and clusteringca
dc.typeinfo:eu-repo/semantics/otherca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Programari (Enginyeria Electrònica i Biomèdica)
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Readme.txtReadme file18.37 kBTextView/Open
Dimensionality_reduction_and_clustering_EELS(SI).ipynbJupyter notebook14.96 MBUnknownView/Open
Raw_MnOFeO_NP_coreLoss.ncDataset56.02 MBUnknownView/Open


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