Essays about: "t-SNE"

Showing result 1 - 5 of 18 essays containing the word t-SNE.

1. 1. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Mahtab Davari; [2023]
   Keywords : Knowledge graph; Positive Energy Districts PEDs ; longest path; Questions and Answers; Community Detection; Node Embedding; t-SNE plots; Edge Prediction;

   Abstract : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. READ MORE

3. 2. Evaluating clustering techniques in financial time series

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Johan Millberg; [2023]
   Keywords : clustering; machine learning; financial time series; time series; unsupervised learning; cluster validation; cluster evaluation; klustring; klusteranalys; finansiella tidsserier; maskininlärning; klustervalidering; evalueringsteknik;

   Abstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE

4. 3. Clustering of Unevenly Spaced Mixed Data Time Series

   University essay from KTH/Matematisk statistik

   Author : Pierre Sinander; Asik Ahmed; [2023]
   Keywords : mixed data time series; unevenly spaced time series; clustering; dynamic time warping; Gower dissimilarity; time warping regularisation; numeriska och kategoriska tidsserier; ojämnt fördelade tidsserier; kluster analys; dynamic time warping; Gower dissimilaritet; regularisering av tidsförvränging;

   Abstract : This thesis explores the feasibility of clustering mixed data and unevenly spaced time series for customer segmentation. The proposed method implements the Gower dissimilarity as the local distance function in dynamic time warping to calculate dissimilarities between mixed data time series. READ MORE

5. 4. Organization of Electronic Dance Music by Dimensionality Reduction

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Victor Tideman; [2022]
   Keywords : Dimensionality Reduction; Digital Signal Processing; Similarity; Music;

   Abstract : 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

6. 5. Analysis of Brain Signals from Patients with Parkinson’s Disease using Self-Supervised Learning

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

   Author : Emma Lind; [2022]
   Keywords : Machine Learning; Self-supervised learning; Feature extraction; Parkinson’s Disease; Magnetoencephalography; Electroencephalogram; Maskininlärning; Självlärande inlärning; Särdragsextraktion; Parkinsons sjukdom; Magnetoencefalografi; Elektroencefalografi;

   Abstract : Parkinson’s disease (PD) is one of the most common neurodegenerative brain disorders, commonly diagnosed and monitored via clinical examinations, which can be imprecise and lead to a delayed or inaccurate diagnosis. Therefore, recent research has focused on finding biomarkers by analyzing brain networks’ neural activity to find abnormalities associated with PD pathology. READ MORE