Sökning: "k-means"
Visar resultat 41 - 45 av 277 uppsatser innehållade ordet k-means.
41. Characterization of familial Alzheimer’s disease using unsupervised learningalgorithmsA data analysis of Alzheimer’s disease cases
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Familial Alzheimer's Disease (FAD) is characterized by an early onset, cognitive impairment and dementia. Besides the symptomatic characterization, FAD shows an abundance of amyloid beta and tau protein in the patients' brains. LÄS MER
42. Design of high performance buildings : Vulnerability of buildings to climate change from an energy perspective
Master-uppsats, KTH/Hållbara byggnaderSammanfattning : The challenge of climate change is twofold: to mitigate (prevent) the causes of climate change and to prepare (adapt) to the inevitable effects and consequences. Building and construction are key sectors for decarbonisation (mitigation). LÄS MER
43. A Case Study: Optimising PAP ambulance location with data and travel time analysis
Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : The mental health concerns in Sweden have been increasing since the beginning of the 2000’s, where Skåne County in the southern parts of Sweden has shown to be slightly higher in a proportion of reported cases in comparison to other regions. To address the growing need for psychiatric healthcare, the health services of the region of Skåne (Region Skåne) have introduced a psychiatric ambulance unit as a part of first responders. LÄS MER
44. First cycle, 15 credits Machine Learning based Clustering of Bank Card Consumers : Identification of risk groups for fraud detection purposes
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : To safeguard consumers, banks have developed machine learning based fraud detections systems which work to prevent fraudulent card transactions from occurring. The goal of this report is to improve these systems by trying to segment consumers into different risk groups. LÄS MER
45. Analysis of Electricity Usage Time Series with K-means Clustering
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/ElektricitetsläraSammanfattning : As the amount of collected and analysed data for electricity usage from buildings is increasing it becomes an important component in energy efficiency efforts. A huge problem when developing algorithms fordetection of anomalous electricity usage series is the lack of data setswith annotated normal usage series for training and evaluation purposes. LÄS MER