Sökning: "cluster"
Visar resultat 46 - 50 av 1352 uppsatser innehållade ordet cluster.
46. Segmenting cruise passengers based on their spatio-temporal similarity : an approach utilising dynamic time warping
Kandidat-uppsats, Uppsala universitet/Kulturgeografiska institutionenSammanfattning : The present thesis utilises dynamic time warping and cluster analysis with the aim of discovering different touristic profiles. GPS data of cruise passengers intra-destination movement at the destination of Visby, Gotland, was used in the analysis. LÄS MER
47. AI-assisted analysis of ICT-centre cooling : Using K-means clustering to identify cooling patterns in water-cooled ICT rooms
Master-uppsats, Linköpings universitet/EnergisystemSammanfattning : Information and communications technology (ICT) is an important part in today’s society and around 60% of the world's population are connected to the internet. Processing and storing ICT data corresponds to approximately 1% of the global electricity demand. LÄS MER
48. Clustering and classification of prepaid mortgages
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : 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. LÄS MER
49. Design and evaluation of a plain MPI-based cluster execution backend for the SkePU 3 skeleton programming framework
Master-uppsats, Linköpings universitet/Programvara och systemSammanfattning : SkePU 3 is a framework for parallel program execution that uses higher order functions called skeletons, which provide a layer of abstraction between user code and the parallel implementation it provides through its backends. The backend that enables SkePU to run on an HPC cluster has a slowdown of a factor two. LÄS MER
50. Clustering on groups for human tracking with 3D LiDAR
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. LÄS MER