Essays about: "dimensionsreducering"
Showing result 1 - 5 of 8 essays containing the word dimensionsreducering.
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1. Organization of Electronic Dance Music by Dimensionality Reduction
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : 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. READ MORE
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2. Another Slice of Multivariate Dimension Reduction
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : 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. READ MORE
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3. Unsupervised Anomaly Detection and Root Cause Analysis in HFC Networks : A Clustering Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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4. Deep Scenario Generation of Financial Markets
University essay from KTH/Matematisk statistikAbstract : 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. READ MORE
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5. A study and further development of nonlinear unsupervised methods : With applications to financial data
University essay from KTH/Matematisk statistikAbstract : The main focus for this thesis is nonlinear dimensionality reduction. When analysing data of high dimension it is often vital to find a lower dimension representation of the data, while preserving as much information as possible. Dimension reduction is therefore used in many fields of science and in many industries. READ MORE
