Toggle navigation
Contact us
Intranet login
About us
Overview
History
Organization
Partnerships
Facts and Figures
Start-ups & Spin-offs
IT Sites
IT Aveiro
IT Coimbra
IT Lisboa
IT Branch - Covilhã
IT Branch - ISCTE-IUL
IT Branch - Leiria
IT Branch - Porto
Research & Innovation
Thematic Lines
Lab Infrastructure
Research Impact
Research Highlights
Technology Transfer
News & Events
News
Coming Events
Past Events
Outreach Activities
Clipping
Newsletters
Work With Us
Post-doc positions
Other research positions
Why choose IT
Testimonials
Resources
Annual Reports
Quality Policy
Code of Conduct
Gender Equality
Sustainability
Privacy Policy
Support Staff
Press Kit
Search!
Creating and sharing knowledge for telecommunications
Home
Thematic Lines
Networks and Services
Analysis of heterogeneous and high-dimensional data of rheumatic diseases patients through clustering methods
Close
<p>It appears your web browser doesn't support iframes.</p>
Networks and Services
CONCLUDED MSC THESIS
Analysis of heterogeneous and high-dimensional data of rheumatic diseases patients through clustering methods
Sara Cristina Pontes Vieira
Supervisors:
Alexandra Sofia Martins de Carvalho
, Susana Vinga
University:
Instituto Superior Técnico
Keywords:
Rheumatic diseases, Clustering, Data analysis, Dimensionality reduction, ab-SNF
Abstract:
PDF download
© 2023, IT - Instituto de Telecomunicações | All Rights Reserved
