Roma Puronaitė
Department: Cognitive Computing Group
Position: PhD student
Field: Informatics
Address: Akademijos st. 4, room 608A, Vilnius
Tel: (+370 5) 210 9312
E-mail:
Doctoral studies
Theme Clustering Algorithms for Medical Big Data
Supervisor Prof. Dr. Audronė Jakaitienė
Study time 2017 10 01–2023 09 16 (2019 10 16–2021 09 30 academic holidays)
Aim: The aim is to propose a clustering algorithm that would increase the performance of clustering on medical big data.
Main problems:
- To investigate most popular clustering methods commonly used for medical big data clustering.
- To compare selected clustering algorithms using real medical data sets.
- To propose a new clustering algorithm to improve the performance of clustering on medical big data.
- To propose a solution for the implementation of proposed clustering algorithm in real-world medical data system.
Presentations at scientific conferences
Annual Reporting Doctoral Conference of Informatics, October 24, 2018, Vilnius „Clustering algorithms for medical big data“ (Technical Report LT, Slides LT)