How do clusters evolve?

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Siebes, A.P.J.M.
dc.contributor.author	Papachristou, D.
dc.date.accessioned	2016-09-15T17:00:46Z
dc.date.available	2016-09-15T17:00:46Z
dc.date.issued	2016
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/24296
dc.description.abstract	An American computer programmer and science fiction writer, Daniel Keys Moran, once said that although we can have data without information, we cannot have information without data. This quote describes pretty much the whole concept around data mining and the significance of making sense out of data. The original motivation for this thesis arises from a digital humanities’ problem. The aim of this project is to build an algorithm which can identify an evolving process between clusters of objects.
dc.description.sponsorship	Utrecht University
dc.format.extent	836480
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.title	How do clusters evolve?
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.courseuu	Computing Science