Sökning: "t-SNE"

Visar resultat 11 - 15 av 18 uppsatser innehållade ordet t-SNE.

  1. 11. Analysis of Eye Tracking Data from Parkinson’s Patients using Machine Learning

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

    Författare :Lucas Höglund; [2021]
    Nyckelord :Autoencoder; Clustering; Eye tracking; Feature extraction; Feature selection; Machine learning; Parkinson’s disease.; Autokodare; Klustring; Blickspårning; Särdragsextraktion; Särdragsidentifikation; Maskininlärning; Parkinsons sjukdom.;

    Sammanfattning : Parkinson’s disease is a brain disorder associated with reduced dopamine levels in the brain, affecting cognition and motor control in the human brain. One of the motor controls that can be affected is eye movements and can therefore be critically affected in patients with Parkinson’s disease. LÄS MER

  3. 12. Evaluating machine learning models for predicting glioma from single nucleotide polymorphism data

    Kandidat-uppsats, Umeå universitet/Institutionen för fysik

    Författare :Tim Anthony; [2020]
    Nyckelord :;

    Sammanfattning : Early detection of cancer is necessary to minimize mental and physical distress. Therefore, this report investigated the possibilities of using machine learning methods to detect glioma in an early stage. This by looking at genetic data from real patients. LÄS MER

  4. 13. Automatic fingerprinting of websites

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Alfred Berg; Norton Lamberg; [2020]
    Nyckelord :;

    Sammanfattning : Abstract Fingerprinting a website is the process of identifying what technologies a websiteuses, such as their used web applications and JavaScript frameworks. Currentfingerprinting methods use manually created fingerprints for each technology itlooks for. LÄS MER

  5. 14. Efficient Discovery Of Binary Stars

    Master-uppsats, Lunds universitet/Astronomi - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

    Författare :Pablo Navarro Barrachina; [2020]
    Nyckelord :Binary Stars; Spectroscopic binary stars; SB2; Machine Learning; Data Mining; Physics and Astronomy;

    Sammanfattning : Purpose: even in the era of exponential increase in the amount of stellar data gathered, binaries are still often overlooked in observational data due to the special handling they require. The goal of this work is to develop a method capable of automatically and efficiently identifying and extract double-lined spectroscopic binaries (SB2) from a spectroscopic survey, while being scalable and technically successful, and to identify and optimize the parameters that influence their detection. LÄS MER

  7. 15. Clustering of Driver Data based on Driving Patterns

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Amit Kabra; [2019]
    Nyckelord :Clustering; Driving Patterns; Markov Chain; Cars; Machine Learning;

    Sammanfattning : Data analysis methods are important to analyze the ever-growing enormous quantity of the high dimensional data. Cluster analysis separates or partitions the data into disjoint groups such that data in the same group are similar while data between groups are dissimilar. LÄS MER