Essays about: "K-means clustering"

Showing result 11 - 15 of 201 essays containing the words K-means clustering.

1. 11. Beståndsanpassad aptering: metodutveckling och utfallsprövning : effekter av varierande längdstyrning i egenskapsskilda beståndsgrupper

   University essay from SLU/Department of Forest Biomaterials and Technology (from 131204)

   Author : William Svederberg; [2023]
   Keywords : beståndsanpassad aptering; maskininlärning; produktionsstyrning;

   Abstract : Idag är tillgången till skogliga data mycket stor. En bidragande faktor till detta är insamlingen av data vid maskinell avverkning. Denna datamängd används i stor utsträckning för bland annat produktionsuppföljning men med viss bearbetning kan de användas för att digitalt återskapa den avverkade skogen. READ MORE

3. 12. Unsupervised Anomaly Detection and Explainability for Ladok Logs

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Mimmi Edholm; [2023]
   Keywords : machine learing; anomaly detection; ml;

   Abstract : Anomaly detection is the process of finding outliers in data. This report will explore the use of unsupervised machine learning for anomaly detection as well as the importance of explaining the decision making of the model. READ MORE

4. 13. AI-assisted analysis of ICT-centre cooling : Using K-means clustering to identify cooling patterns in water-cooled ICT rooms

   University essay from Linköpings universitet/Energisystem

   Author : Oliver Wallin; Johan Jigsved; [2023]
   Keywords : AI; K-means; clustering; ICT-centre; data centre; data center; ICT-center; cooling; data center cooling;

   Abstract : 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. READ MORE

5. 14. Clustering and classification of prepaid mortgages

   University essay from KTH/Matematik (Avd.)

   Author : Jakob Atli Thorsteinsson; [2023]
   Keywords : Clustering; Classification; Klustring; Klassificering;

   Abstract : 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. READ MORE

6. 15. Optimisation of warehouse for second-hand items using Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Simon Osnes; [2023]
   Keywords : Second-hand; Machine Learning; Data Analysis; Feature Selection; Clustering; K-Means; Second-hand; Maskininlärning; Dataanalys; Urval av Attributer; Klustring; K-Means;

   Abstract : Warehouse management and organisation often use the popularity of items to assign placements in the warehouse and predict sales. However, when dealing with only unique second-hand items another solution is needed. READ MORE