A new AntTree-based algorithm for clustering short-text corpora

Research work on "short-text clustering" is a very important research area due to the current tendency for people to use "small-language", e.g. blogs, textmessaging and others. In some recent works, new bioinspired clustering algorithms have been proposed to deal with this diffic...

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Detalles Bibliográficos
Autores principales:	Errecalde, Marcelo Luis, Ingaramo, Diego Alejandro, Rosso, Paolo
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2010
Materias:	Ciencias Informáticas short-text clustering bio-inspired algorithms internal validity measures silhouette coefficient
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9660 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr10-1.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-9660
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas short-text clustering bio-inspired algorithms internal validity measures silhouette coefficient
spellingShingle	Ciencias Informáticas short-text clustering bio-inspired algorithms internal validity measures silhouette coefficient Errecalde, Marcelo Luis Ingaramo, Diego Alejandro Rosso, Paolo A new AntTree-based algorithm for clustering short-text corpora
topic_facet	Ciencias Informáticas short-text clustering bio-inspired algorithms internal validity measures silhouette coefficient
description	Research work on "short-text clustering" is a very important research area due to the current tendency for people to use "small-language", e.g. blogs, textmessaging and others. In some recent works, new bioinspired clustering algorithms have been proposed to deal with this difficult problem and novel uses of Internal Clustering Validity Measures have also been presented. In this work, a new AntTree-based approach is proposed for this task. It integrates information on the Silhouette Coefficient and the concept of attraction of a cluster in different stages of the clustering process. The proposal achieves results comparable to the best reported results in this area, showing an interesting stability in the quality of the results and presenting some interesting capabilities as a general improvement method for arbitrary clustering approaches.
format	Articulo Articulo
author	Errecalde, Marcelo Luis Ingaramo, Diego Alejandro Rosso, Paolo
author_facet	Errecalde, Marcelo Luis Ingaramo, Diego Alejandro Rosso, Paolo
author_sort	Errecalde, Marcelo Luis
title	A new AntTree-based algorithm for clustering short-text corpora
title_short	A new AntTree-based algorithm for clustering short-text corpora
title_full	A new AntTree-based algorithm for clustering short-text corpora
title_fullStr	A new AntTree-based algorithm for clustering short-text corpora
title_full_unstemmed	A new AntTree-based algorithm for clustering short-text corpora
title_sort	new anttree-based algorithm for clustering short-text corpora
publishDate	2010
url	http://sedici.unlp.edu.ar/handle/10915/9660 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr10-1.pdf
work_keys_str_mv	AT errecaldemarceloluis anewanttreebasedalgorithmforclusteringshorttextcorpora AT ingaramodiegoalejandro anewanttreebasedalgorithmforclusteringshorttextcorpora AT rossopaolo anewanttreebasedalgorithmforclusteringshorttextcorpora AT errecaldemarceloluis newanttreebasedalgorithmforclusteringshorttextcorpora AT ingaramodiegoalejandro newanttreebasedalgorithmforclusteringshorttextcorpora AT rossopaolo newanttreebasedalgorithmforclusteringshorttextcorpora
bdutipo_str	Repositorios
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A new AntTree-based algorithm for clustering short-text corpora

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