Adán José-García
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View article: Artificial intelligence for precision medicine
Artificial intelligence for precision medicine Open
This review offers both an introduction to AI and a practical overview of how it is being used, and where its limitations lie, in precision medicine, with the goal of helping healthcare professionals understand these evolving tools and use…
View article: Exhaustive biclustering driven by self-learning evolutionary approach for biomedical data
Exhaustive biclustering driven by self-learning evolutionary approach for biomedical data Open
MOEBA-BIO represents a significant advancement in biclustering applied to bioinformatics. Its innovative framework, combining adaptability, self-configuration, and integration of domain-specific objectives, addresses the main limitations o…
View article: HBIC: A Biclustering Algorithm for Heterogeneous Datasets
HBIC: A Biclustering Algorithm for Heterogeneous Datasets Open
Biclustering is an unsupervised machine-learning approach aiming to cluster rows and columns simultaneously in a data matrix. Several biclustering algorithms have been proposed for handling numeric datasets. However, real-world data mining…
View article: HBIC: A Biclustering Algorithm for Heterogeneous Datasets
HBIC: A Biclustering Algorithm for Heterogeneous Datasets Open
Biclustering is an unsupervised machine-learning approach aiming to cluster rows and columns simultaneously in a data matrix. Several biclustering algorithms have been proposed for handling numeric datasets. However, real-world data mining…
View article: Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities
Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities Open
Biclustering is an unsupervised machine-learning technique that simultaneously clusters rows and columns in a data matrix. Over the past two decades, the field of biclustering has emerged and grown significantly, and currently plays an ess…
View article: CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering
CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering Open
View article: C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation
C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation Open
View article: Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views Open
Multi-view data analysis provides an effective means to integrate the distinct information sources which are inherent to many applications. Data clustering in a multi-view setting specifically aims to identify the most appropriate grouping…
View article: Biclustering Algorithms Based on Metaheuristics: A Review
Biclustering Algorithms Based on Metaheuristics: A Review Open
View article: Biclustering Algorithms Based on Metaheuristics: A Review
Biclustering Algorithms Based on Metaheuristics: A Review Open
Biclustering is an unsupervised machine learning technique that simultaneously clusters rows and columns in a data matrix. Biclustering has emerged as an important approach and plays an essential role in various applications such as bioinf…
View article: Conference Committees
Conference Committees Open
View article: A survey of cluster validity indices for automatic data clustering using differential evolution
A survey of cluster validity indices for automatic data clustering using differential evolution Open
In cluster analysis, the automatic clustering problem refers to the determination of both the appropriate number of clusters and the corresponding natural partitioning. This can be addressed as an optimization problem in which a cluster va…