Sökning: "dimensionsreducering"

Visar resultat 1 - 5 av 10 uppsatser innehållade ordet dimensionsreducering.

1. 1. Organization of Electronic Dance Music by Dimensionality Reduction

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Victor Tideman; [2022]
   Nyckelord :Dimensionality Reduction; Digital Signal Processing; Similarity; Music;

   Sammanfattning : This thesis aims to produce a similarity metric for tracks of the genre: Electronic Dance Music, by taking a high-dimensional data representation of each track and then project it to a low-dimensional embedded space (2D and 3D) by applying two Dimensionality Reduction (DR) techniques called t-distributed stochastic neighbor embedding (t-SNE) and Pairwise Controlled Manifold Approximation (PaCMAP). A content-based approach is taken to identify similarity, which is defined as the distances between points in the embedded space. LÄS MER

3. 2. Another Slice of Multivariate Dimension Reduction

   Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

   Författare :Carl Ekblad; [2022]
   Nyckelord :dimension reduction; reducing subspace; dimension reduction subspace; envelopes; dimensionsreducering; reducerande underrum; dimensionsreducerande underrum; kuvert;

   Sammanfattning : This thesis presents some methods of multivariate dimension reduction, with emphasis on methods guided by the work of R.A. Fisher. Some of the methods presented can be traced back to the 20th century, while some are much more recent. LÄS MER

4. 3. Funktionell PCA mot Artificiella Neuronnät

   Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Freja Nordh; Mattis Hallberg; Shayan Mollahosseini; Jack Sandberg; Erik Jansson; Philip Gard; [2021-07-01]
   Nyckelord :;

   Sammanfattning : Denna rapport fokuserar på jämförelsen av några olika klassificeringsmetoder applicerade på bilddatan Fashion-MNIST. De olika metoderna är artificiella neurala nätverk och funktionell principalkomponentanalys och principalkomponentanalys. För de neurala nätverken har vi två typer: CNN och FNN. LÄS MER

5. 4. Unsupervised Anomaly Detection and Root Cause Analysis in HFC Networks : A Clustering Approach

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

   Författare :Povel Forsare Källman; [2021]
   Nyckelord :Anomaly Detection; Root Cause Analysis; Cluster Analysis; k- means; Self- Organizing Map; Gaussian Mixture Model; Dimensionality Reduction; Principal Component Analysis; Hybrid Fiber- Coaxial Network.; Anomalidetektering; Rotfelsanalys; Klusteranalys; k- means; Self- Organizing Map; Gaussian Mixture Model; Dimensionsreducering; Principal Component Analysis; Hybrid Fiber Coax- nät.;

   Sammanfattning : Following the significant transition from the traditional production industry to an informationbased economy, the telecommunications industry was faced with an explosion of innovation, resulting in a continuous change in user behaviour. The industry has made efforts to adapt to a more datadriven future, which has given rise to larger and more complex systems. LÄS MER

7. 5. Deep Scenario Generation of Financial Markets

   Master-uppsats, KTH/Matematisk statistik

   Författare :Filip Carlsson; Philip Lindgren; [2020]
   Nyckelord :Variational Autoencoder; Generative Models; Latent Space; Dimensionality Reduction; Unsupervised Learning; Clustering; VAE-Clustering; Scenario Generation; Market Regime; Variational Autoencoder; generativa modeller; latent rum; dimensionsreducering; klustring; scenario generering;

   Sammanfattning : The goal of this thesis is to explore a new clustering algorithm, VAE-Clustering, and examine if it can be applied to find differences in the distribution of stock returns and augment the distribution of a current portfolio of stocks and see how it performs in different market conditions. The VAE-clustering method is as mentioned a newly introduced method and not widely tested, especially not on time series. LÄS MER