Sökning: "Diskriminantanalys"
Visar resultat 1 - 5 av 20 uppsatser innehållade ordet Diskriminantanalys.
1. Decision Trees for Classification of Repeated Measurements
Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. LÄS MER
2. Classification of Repeated Measurement Data Using Growth Curves and Neural Networks
Master-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : This thesis focuses on statistical and machine learning methods designed for sequential and repeated measurement data. We start off by considering the classic general linear model (MANOVA) followed by its generalization, the growth curve model (GMANOVA), designed for analysis of repeated measurement data. LÄS MER
3. Mossfloran vid vattenkvarnar i sydöstra Sverige
Kandidat-uppsats, Högskolan i Halmstad/Akademin för ekonomi, teknik och naturvetenskapSammanfattning : Bryophytes play an important role in ecosystems in running waters and are common growing on structures in and around watermills. These watermill habitats differ from other parts of the watercourse in terms of microclimate and disturbance regime, and in providing more suitable and variable substrates. LÄS MER
4. Predicting Customer Churn Rate in the iGaming Industry using Supervised Machine Learning
Master-uppsats, KTH/Matematisk statistikSammanfattning : Mr Green is one of the leading online game providers in the European market. Their mission is to o˙er entertainment and a superior user experience to their customers. LÄS MER
5. Feature Extraction and FeatureSelection for Object-based LandCover Classification : Optimisation of Support Vector Machines in aCloud Computing Environment
Master-uppsats, KTH/GeoinformatikSammanfattning : Mapping the Earth’s surface and its rapid changes with remotely sensed data is a crucial tool to un-derstand the impact of an increasingly urban world population on the environment. However, the impressive amount of freely available Copernicus data is only marginally exploited in common clas-sifications. LÄS MER