Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Delta-MOCK

Adriano Kultzak; Cristina Morimoto; Aurora Pozo; Marcilio de Souto

doi:10.1007/978-3-030-92307-5_6

Conference Papers Year : 2021

Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Delta-MOCK

, , , (1)

1

Adriano Kultzak

Function : Author
PersonId : 819472
ORCID : 0000-0001-9082-9485

Cristina Morimoto

Function : Author
PersonId : 819473
ORCID : 0000-0003-4122-5698

Aurora Pozo

Function : Author
PersonId : 772128
ORCID : 0000-0001-5808-3919

Marcilio de Souto

Function : Author
PersonId : 951382

Laboratoire d'Informatique Fondamentale d'Orléans

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Artificial Intelligence [cs.AI]

Marcilio De Souto : Connect in order to contact the contributor

https://hal.science/hal-03512277

Submitted on : Wednesday, January 5, 2022-12:16:59 PM

Last modification on : Thursday, January 6, 2022-11:19:00 AM

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hal-03512277 , version 1 (05-01-2022)

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HAL Id : hal-03512277 , version 1
DOI : 10.1007/978-3-030-92307-5_6

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Adriano Kultzak, Cristina Morimoto, Aurora Pozo, Marcilio de Souto. Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Delta-MOCK. Proc. of International Conference on Neural Information Processing. ICONIP 2021, Dec 2021, Bali, Indonesia. pp.46-54, ⟨10.1007/978-3-030-92307-5_6⟩. ⟨hal-03512277⟩

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