Zobrazeno 1 - 10
of 315
pro vyhledávání: '"Klustring."'
Autor:
Atli Thorsteinsson, Jakob
This thesis aims to cluster and classify mortgages issued by a financial institution. The aim is to apply machine learning techniques on historical data in order to discover a possible structure and predictability in prepaid mortgages. To discover th
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-344622
Autor:
Caliò, Filippo
Clustering keywords is an important Natural Language Processing task that can be adopted by several businesses since it helps to organize and group related keywords together. By clustering keywords, businesses can better understand the topics their c
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-338333
Autor:
Kühn, Hannah
Hierarchical clustering is a family of machine learning methods that has many applications, amongst other data science and data mining. This thesis belongs to the research area of brain-like computing and introduces a novel approach to hierarchical c
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-338209
Autor:
Schorn, Björn
Nasdaq utvecklar och tillhandahåller mjukvarulösningar för clearinghus. Det finns ett intresse för att utveckla en fördjupad förståelse för hur funktionaliteten av produkten används. En möjlighet för detta är att använda sig av hierarkis
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-196242
Autor:
Hammarstedt, Johan
The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321996
Autor:
Hammarstedt, Johan
The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::9a8c6d66451e4c949b27639bb9e0a8c5
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321996
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321996
Autor:
Nanakorn, Natasha, Palmgren, Elin
Following the global financial crisis, both risk-based and heuristic portfolio construction methods have received much attention from both academics and practitioners since these methods do not rely on the estimation of expected returns and as such a
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304668
Autor:
Nanakorn, Natasha, Palmgren, Elin
Following the global financial crisis, both risk-based and heuristic portfolio construction methods have received much attention from both academics and practitioners since these methods do not rely on the estimation of expected returns and as such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d3897021128aa82b0822df57cb7ea5fa
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304668
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304668
Autor:
Derksen, Filip, Woxenius, Olof
Målet med denna studie var att undersöka inverkan av brus, normaliseringen av Laplacianen, antalet kluster k och antalet grannar i närhetsgrafen knn på en implementation av spektral klustring. Med hjälp av den framtagna klustringen skulle lämpl
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-331128
Autor:
Sinander, Pierre, Ahmed, Asik
This thesis explores the feasibility of clustering mixed data and unevenly spaced time series for customer segmentation. The proposed method implements the Gower dissimilarity as the local distance function in dynamic time warping to calculate dissim
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-340421