CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering

Autor: Adán José-García, Wilfrido Gómez-Flores

Publikováno v: SoftwareX, Vol 22, Iss , Pp 101359- (2023)

We present CVIK, a Matlab-based toolbox for assisting the process of cluster analysis applications. This toolbox aims to implement 28 cluster validity indices (CVIs) for measuring clustering quality available to data scientists, researchers, and prac

Externí odkaz: https://doaj.org/article/7884c1e0305d483fa10d7d81920a1894

What’s in a distance? Exploring the interplay between distance measures and internal cluster validity in multi-objective clustering

Autor: Adán José-García, Julia Handl

Publikováno v: Natural Computing
Natural Computing, 2022, ⟨10.1007/s11047-022-09909-y⟩

International audience; The problem of cluster analysis eludes a unique mathematical definition. Instead, a variety of different instantiations of the problem can be defined using specific measures of internal cluster validity. In turn, such internal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d07b09fb3a9b9b0959e12adc8db81c
https://hal.science/hal-03790513

An evolutionary many-objective approach to multiview clustering using feature and relational data

Autor: Julia Handl, Adán José-García, Mario Garza-Fabre, Wilfrido Gómez-Flores

Publikováno v: Applied Soft Computing
Applied Soft Computing, Elsevier, 2021, 108, pp.107425. ⟨10.1016/j.asoc.2021.107425⟩
José-garcía, A, Handl, J, Gómez-flores, W & Garza-fabre, M 2021, ' An evolutionary many-objective approach to multiview clustering using feature and relational data ', Applied Soft Computing . https://doi.org/10.1016/j.asoc.2021.107425

Many application domains involve the consideration of multiple data sources. Typically, each of these data views provides a different perspective of a given set of entities. Inspired by early work on multiview (supervised) learning, multiview algorit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efd44cd36ea0de5a4176a4df45097f4e
https://hal.archives-ouvertes.fr/hal-03217644

On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering

Autor: Adán José-García, Julia Handl

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030720612
EMO
Evolutionary Multi-Criterion Optimization
Evolutionary Multi-Criterion Optimization, Mar 2021, Shenzhen, China. pp.504-515, ⟨10.1007/978-3-030-72062-9_40⟩

Multi-criterion algorithms for clustering have gained some traction due to their ability to cater to a diverse range of cluster properties. Here, we investigate the interaction between the clustering criteria employed in a multi-objective algorithm a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::852e6819821e05e6b125426925ba8858
https://doi.org/10.1007/978-3-030-72062-9_40

Many-view clustering

Autor: Wilfrido Gómez-Flores, Julia Handl, Adán José-García, Mario Garza-Fabre

Publikováno v: GECCO (Companion)
GECCO '19: Genetic and Evolutionary Computation Conference
GECCO '19: Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.213-214, ⟨10.1145/3319619.3323365⟩

Multi-view problems generalize standard machine learning problems to situations in which data entities are described from multiple different perspectives, a situation that arises in many applications due to the consideration of multiple data sources

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96310471d9ac7d4d28e1426bc357b27d
https://doi.org/10.1145/3319619.3323365