Column generation approaches for the software clustering problem

2016 ◽  
Vol 64 (3) ◽  
pp. 843-864 ◽  
Author(s):  
Hugo Harry Kramer ◽  
Eduardo Uchoa ◽  
Marcia Fampa ◽  
Viviane Köhler ◽  
François Vanderbeck
2013 ◽  
Vol 25 (3) ◽  
pp. 446-460 ◽  
Author(s):  
Edoardo Amaldi ◽  
Kanika Dhyani ◽  
Alberto Ceselli

2012 ◽  
Vol 132 (1) ◽  
pp. 151-159
Author(s):  
Akiyoshi Ohno ◽  
Tatsushi Nishi ◽  
Masahiro Inuiguchi ◽  
Satoru Takahashi ◽  
Kenji Ueda

2018 ◽  
Vol 1 (1) ◽  
pp. 87-112 ◽  
Author(s):  
Kamal Z. Zamli ◽  
◽  
Abdulrahman Alsewari ◽  
Bestoun S. Ahmed ◽  
◽  
...  

Author(s):  
Laith Mohammad Abualigah ◽  
Essam Said Hanandeh ◽  
Ahamad Tajudin Khader ◽  
Mohammed Abdallh Otair ◽  
Shishir Kumar Shandilya

Background: Considering the increasing volume of text document information on Internet pages, dealing with such a tremendous amount of knowledge becomes totally complex due to its large size. Text clustering is a common optimization problem used to manage a large amount of text information into a subset of comparable and coherent clusters. Aims: This paper presents a novel local clustering technique, namely, β-hill climbing, to solve the problem of the text document clustering through modeling the β-hill climbing technique for partitioning the similar documents into the same cluster. Methods: The β parameter is the primary innovation in β-hill climbing technique. It has been introduced in order to perform a balance between local and global search. Local search methods are successfully applied to solve the problem of the text document clustering such as; k-medoid and kmean techniques. Results: Experiments were conducted on eight benchmark standard text datasets with different characteristics taken from the Laboratory of Computational Intelligence (LABIC). The results proved that the proposed β-hill climbing achieved better results in comparison with the original hill climbing technique in solving the text clustering problem. Conclusion: The performance of the text clustering is useful by adding the β operator to the hill climbing.


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