Adan Jose-Garcia / Homepage / Twitter / Linkedin
I am a Research Scientist in Machine Learning and Digital Health at the CRIStAL and INFINITE Labs, University of Lille, France. My research focuses on developing integrative cluster analysis approaches to address healthcare-related data problems and help to understand better disease complications and treatment goals.
- BicViz A tool to visualize biclusters.
- CVIk Toolbox A toolbox of cluster validity indices for determining the number of clusters on clustering problems.
- C3-IoC A career guidance system for assessing student skills.
- EvoClustering A repository of publications, datasets, and source codes for evolutionary clustering algorithms.
Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities (2023)
Evolutionary Multi-objective Clustering Over Multiple Conflicting Data Views (2022)
An Evolutionary Many-objective Approach to Multiview Clustering Using Feature and Relational Data (2021)
Automatic Clustering Using Nature-inspired Metaheuristics: A Survey (2016)
