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dc.contributor.authorMeneses Muñoz, Marta
dc.date.accessioned2022-09-23T11:21:51Z
dc.date.available2022-09-23T11:21:51Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/10641/3123
dc.description.abstractThe future of cities is based on the 3Ts: technology, talent and tolerance. Talent is a fundamental pillar for the development of cities and therefore we must know how to be an attractive city to attract it. Choosing the place where we can develop our potential and put it at the service of others is what every talented young person wants to do. In a globalized world, the information that we can evaluate to facilitate decision making is increasing. As a result, there is great competition and, just like companies, cities need to attract that talent that will lead them to advance and grow. Through this study, we will group 175 cities considered Smart Cities, by similarity through an unsupervised model without any human bias or subjective opinion. In the same way, this study will help governors to know in which group of cities they are in the search for talent and to know what they should offer to improve their positioning. Thus, we will be able to foster the desire to make cities the place where the person is the center and attract technology companies that enrich cities, and therefore we will also be considering the first "T", technology.spa
dc.language.isoengspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectSmart Citiesspa
dc.subjectAttractivenessspa
dc.subjectTechnologyspa
dc.subjectClusteringspa
dc.subjectAutoencoderspa
dc.titleSmart cities competing for talent: neural nets and clustering algorithm for cities.spa
dc.typebachelor thesisspa
dc.type.hasVersionSMURspa
dc.rights.accessRightsopen accessspa
dc.description.extent1825 KBspa


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