Essays about: "t-SNE plots"

Found 3 essays containing the words t-SNE plots.

  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. Prediction of Neurodegenerative Diseases using Brain Images

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Abhishek Pulicherla; Aiman Mujtaba Khan; [2021]
    Keywords : Neurodegenerative diseases;

    Abstract : Advancements in Deep Neural Network Architectures have enabledit to be used in the medical imaging and diagnostics domain, in termsof assisting doctors in making diagnoses. Although Neurodegenera-tive diseases such as Alzheimer’s disease remains a diagnosis basedon clinical grounds, there has been great development and recogni-tion that Deep Neural Networks can address the complexity and vol-ume of imaging data. READ MORE