Sökning: "clusters"
Visar resultat 16 - 20 av 1019 uppsatser innehållade ordet clusters.
16. Exploring Greenhouse Gas Emissions and socio-economic factors for climate change mitigation: A worldwide clustering analysis
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenSammanfattning : In response to the pressing need to address climate change and reduce global greenhouse gas (GHG) emissions, this study implemented Gaussian Mixture Models Clustering to detect the levels of GHG emissions and related socio-economic factors in 174 countries. To handle the panel data, Principal Component Analysis was conducted to achieve dimension reduction. LÄS MER
17. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Improving the energy efficiency of buildings is important for many reasons. There is a large body of data detailing the hourly energy consumption of buildings. This work studies a large data set from the Swedish energy market. LÄS MER
18. Development and testing of in-house automatized spatial omics data analysis tool : NIPMAP (Niche-Phenotype Mapping)
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : The functional and anatomical characteristics of cancer cells vary among patients. Additionally, therapeutic approaches display varying responses in different individuals and cancer types due to the anatomical and functional complexity of tumor. LÄS MER
19. Analysis of Similarities Using Cluster Analysis : An Application of Political Views
M1-uppsats, Karlstads universitet/Fakulteten för humaniora och samhällsvetenskap (from 2013)Sammanfattning : The objective of this paper is to study cluster analysis to identify similarities. To enhance the accuracy of the analysis, two clustering methodologies were employed. LÄS MER
20. Exploring Advanced Clustering Techniques for Business Descriptions : A Comparative Study and Analysis of DBSCAN, K-Means, and Hierarchical Clustering
Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : In this study, we introduce several approaches to analyze large volumes of business descriptions by applying machine learning clustering and classification algorithms. The goal is to efficiently classify these descriptions, reducing the search scope and allowing for better business insights and decision-making processes. LÄS MER