Artículos

 

Introducing Biases in Document Clustering

 

Introducción de sesgos en el agrupamiento de documentos

 

Yunior Ramírez-Cruz

 

Center for Pattern Recognition and Data Mining, Content Management Systems Division, DATYS, Santiago de Cuba, Cuba. yunior@cerpamid.co.cu

 

Abstract

In this paper, we present three criteria for introducing biases in document clustering algorithms, when information characterizing the document collections is available. We focus on collections known to be the result of a document categorization or sample-based document filtering process. Our proposals rely on profiles, i.e., document samples known to have been used for obtaining the collection, to extract statistics which determine the biases to introduce. We conduct an experimental evaluation over a number of collections extracted from the widely used corpus RCV1, which allows us to confirm the validity of our proposals and determine a number of situations where biased clusterings, according to different criteria, outperform their unbiased counterparts.

Keywords. Document clustering, introduc biases.

 

Resumen

En este artículo se presentan tres criterios para la introducción de sesgos en algoritmos de agrupamiento de documentos, cuando se dispone de información que caracteriza las colecciones de documentos. Nos concentramos en colecciones de las que se conoce que son el resultado de un proceso de categorización o filtrado de documentos basado en muestras. Nuestras propuestas utilizan perfiles, es decir muestras de documentos de las que se conoce que han sido utilizadas para obtener la colección, para extraer estadísticos que determinan los sesgos a introducir. Llevamos a cabo una evaluación experimental sobre un conjunto de colecciones extraídas del corpus ampliamente utilizado RCV1, que nos permiten confirmar la validez de nuestras propuestas y determinar un número de situaciones donde los agrupamientos sesgados según diferentes criterios superan a sus contrapartes no sesgadas.

Palabras clave. Agrupamiento de documentos, introducción de sesgos.

 

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