The clustering of web search results–or web document clustering–has become a very
interesting research area among academic and scientific communities involved in …

This paper introduces a new description-centric algorithm for web document clustering
based on the hybridization of the Global-Best Harmony Search with the K-means algorithm …

Descriptive document clustering aims at discovering clusters of semantically interrelated
documents together with meaningful labels to summarize the content of each document …

This paper introduces a new description-centric algorithm for web document clustering
based on Memetic Algorithms with Niching Methods, Term-Document Matrix and Bayesian …

Words in natural language documents exhibit a small world network structure. Thus the
physics community provides us with an extensive supply of algorithms for extracting …

The clustering of web search results-or web document clustering (WDC)-has become a very
interesting research area among academic and scientific communities involved in …

Search results clustering techniques help end users to find their related results easier. Both
producing correct cluster contents and assigning descriptive, meaningful labels to the …

En la actualidad, los motores de búsquedas Web como Google, Yahoo!, Bing y Ask son
algunas de las herramientas más utilizadas por las personas para encontrar información en …

Esta tesis doctoral tiene como tema central la Búsqueda Web. En ésta se aprovecha las
potencialidades de los índices temáticos, los buscadores Web tradicionales y los meta …

Current high-throughput technologies, like DNA-microarrays, produce measurement data
concerning the structure and function of cellular molecules in a genome wide manner …