%0 Conference Proceedings
%T Improved Cuckoo Search Algorithm for Document Clustering
%+ Laboratoire de Recherche en Intelligence Artificielle [Alger] (LRIA)
%+ Université M'Hamed Bougara Boumerdes (UMBB)
%A Boushaki, Saida, Ishak
%A Kamel, Nadjet
%A Bendjeghaba, Omar
%Z Part 6: Information Technology: Text and Speech Processing
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 5th International Conference on Computer Science and Its Applications (CIIA)
%C Saida, Algeria
%Y Abdelmalek Amine
%Y Ladjel Bellatreche
%Y Zakaria Elberrichi
%Y Erich J. Neuhold
%Y Robert Wrembel
%I Springer International Publishing
%3 Computer Science and Its Applications
%V AICT-456
%P 217-228
%8 2015-05-20
%D 2015
%R 10.1007/978-3-319-19578-0_18
%K Document clustering
%K Vector space model
%K Cuckoo search
%K Cosine similarity
%K F-measure
%K Purity
%K Metaheuristic
%K Optimization
%Z Computer Science [cs]Conference papers
%X Efficient document clustering plays an important role in organizing and browsing the information in the World Wide Web. K-means is the most popular clustering algorithms, due to its simplicity and efficiency. However, it may be trapped in local minimum which leads to poor results. Recently, cuckoo search based clustering has proved to reach interesting results. By against, the number of iterations can increase dramatically due to its slowness convergence. In this paper, we propose an improved cuckoo search clustering algorithm in order to overcome the weakness of the conventional cuckoo search clustering. In this algorithm, the global search procedure is enhanced by a local search method. The experiments tests on four text document datasets and one standard dataset extracted from well known collections show the effectiveness and the robustness of the proposed algorithm to improve significantly the clustering quality in term of fitness function, f-measure and purity.
%G English
%Z TC 5
%2 https://inria.hal.science/hal-01789952/document
%2 https://inria.hal.science/hal-01789952/file/339159_1_En_18_Chapter.pdf
%L hal-01789952
%U https://inria.hal.science/hal-01789952
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-AICT-456
%~ IFIP-CIIA