Sökning: "clustering using gaussian mixture"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden clustering using gaussian mixture.

1. 1. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Lukas Tonneman; [2023]
   Nyckelord :time-series analysis; clustering; electricity consumer clustering; anomaly detection; gaussian mixture model; hierarchical clustering;

   Sammanfattning : 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

3. 2. Identification of driver baselines

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Alexander Malmgren; Fabian Daneshmand-Mehr; [2022-06-27]
   Nyckelord :computer; science; computer science; Time series clustering; clustering; ADAS; driver profile; statistics;

   Sammanfattning : This thesis aims to answer whether it is possible to produce one or more baselines based on naturalistic driving data collected over a period of 8 months. The baseline is based on variables extracted from the drivers action, such as acceleration and gaze vectors, along with variables extracted from the nature of the trip, such as time of day or road type. LÄS MER

4. 3. Predicting Quality of Experience from Performance Indicators : Modelling aggregated user survey responses based on telecommunications networks performance indicators

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Christian Vestergaard; [2022]
   Nyckelord :Quality of Experience; Telecommunication; Regression; Long Short Term Memmory; Clustering; K-means; Gaussian Mixture Models; Användarupplevelse; Telekommunikation; Regression; Long Short Term Memmory; Klusteranalys; K-means; Gaussian Mixture Models;

   Sammanfattning : As user experience can be a competitive edge, it lies in the interest of businesses to be aware of how users perceive the services they provide. For telecommunications operators, how network performance influences user experience is critical. To attain this knowledge, one can survey users. LÄS MER

5. 4. Fault Clustering With Unsupervised Learning Using a Modified Gaussian Mixture Model and Expectation Maximization

   Master-uppsats, Linköpings universitet/Fordonssystem

   Författare :Kevin Lindström; [2021]
   Nyckelord :;

   Sammanfattning : When a fault is detected in the engine, the check engine light will come on. After that, it is often up to the mechanic to diagnose the engine fault. Manual fault classification by a mechanic can be time-consuming and expensive. LÄS MER

7. 5. Tick data clustering analysis establishing support and resistance levels of the EUR-USD exchange market

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Karl Tengelin; [2020]
   Nyckelord :Tick data; Support-and resistance levels; Clustering methods; Gaussian mixture model; Kmeans; EUR-USD exchange rates; Clustering performance metrics; Market activity; Mathematics and Statistics;

   Sammanfattning : Our aim is to use clustering algorithms in order to compute support and resistance levels within an intra-day trading setting. To achieve this we use a tick data set from the EUR-USD exchange market during 2019 as a measure of market activity. LÄS MER