Show simple item record

dc.contributorGarcía Vidal, Jorge
dc.contributorBarceló Ordinas, José María
dc.contributor.authorBhihe, Cedric K.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2019-04-12T09:23:21Z
dc.date.available2019-04-12T09:23:21Z
dc.date.issued2019-01-30
dc.identifier.urihttp://hdl.handle.net/2117/131724
dc.description.abstractDense smart cities are complex environments, characterized by a heterogeneous set of co-varying signals, which constitute urban semantics. We conduct a multivariate analysis to visualize hidden data structure, and propose a research thrust in non-linear dimensional reduction learning technique.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshElectronic data processing -- Distributed processing
dc.subject.lcshThree-dimensional display systems
dc.subject.otherMVA
dc.subject.otherstatistical learning
dc.subject.otherETL
dc.subject.otherPCA
dc.subject.otherCA
dc.subject.othervarimax
dc.subject.otherMCA
dc.subject.otherhierarchical clustering
dc.subject.otherHC
dc.subject.otherk-means
dc.subject.othernon-linear
dc.subject.otherdimensional reduction
dc.subject.otherNLDR
dc.subject.othermanifold learning
dc.subject.otherembedding
dc.subject.othervisualization
dc.subject.otherurban data
dc.subject.otherNew York City
dc.subject.otherNYPD
dc.titleMultivariate statistical analysis of urban environments applied to New York City
dc.title.alternativeContextual analysis of urban semantics
dc.typeMaster thesis
dc.subject.lemacProcessament distribuït de dades
dc.subject.lemacVisualització tridimensional (Informàtica)
dc.identifier.slug138674
dc.rights.accessOpen Access
dc.date.updated2019-02-01T11:13:55Z
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder