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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)