Towards the Construction of a Clustering Algorithm withOverlap Directed by Query

Autores/as

  • Beatriz Beltrán Benemérita Universidad Autónoma de Puebla image/svg+xml ##default.groups.name.author##
  • David Pinto Benemérita Universidad Autónoma de Puebla image/svg+xml ##default.groups.name.author##
  • Rodolfo Martínez Benemérita Universidad Autónoma de Puebla image/svg+xml ##default.groups.name.author##

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Clustering algorithms##common.commaListSeparator## data recovery##common.commaListSeparator## classification models##common.commaListSeparator## overlapping groups

Resumen

Clustering algorithms are one of the most important element for the data mining and for the automatic learning, also, they keep on being a research topic because algorithms have some limitations. In addition, most of algorithms do not bear overlaps of the groups that they generate, however, in some problems like user profile, clustering algorithms are required for  bearing overlaps.
Therefore, it pretends to develop an overlapping clustering algorithm using different information retrieval techniques in big data quantities and avoiding computational costs.

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Applications of Language & Knowledge Engineering

Publicado

2026-01-15

Número

Vol. 1 Núm. 2 (2025): Applications of Language & Knowledge Engineering

Sección

Articles

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Towards the Construction of a Clustering Algorithm withOverlap Directed by Query. (2026). International Journal of Artificial Intelligence & Human Studies, 1(2). https://ijaihs.murointeractivo.com/index.php/journal/article/view/5