URI | http://purl.tuc.gr/dl/dias/2984444B-A718-4A85-AA4B-C31C8F018C42 | - |
Identifier | http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.467.9354&rep=rep1&type=pdf | - |
Language | en | - |
Extent | 10 pages | en |
Title | Nearest neighbor based pap smear cell classification using tabu search for feature selection | en |
Creator | Marinakis Ioannis | en |
Creator | Μαρινακης Ιωαννης | el |
Creator | Dounias, G | en |
Content Summary | The problem of classification consists of using some known objects, usually described by a large vector of features, to induce a model that classifies others into known classes. Selecting the right set of features for classification is one of the most important problems in designing a good classifier. In this paper, a tabu search algorithm is proposed for the solution of the feature selection problem. Tabu Search is a well known and effective metaheuristic algorithm that was first introduced for the solution of combinatorial optimization problems. This algorithm is combined with a number of nearest neighbor based classifiers. The algorithm is tested in two sets of data for Pap-Smear Cell Classification. The first one consists of 917 images of Pap smear cells and the second set consists of 500 images, classified carefully by cyto-technicians and doctors. Each cell is described by 20 features, and the cells fall into 7 classes but a minimal requirement is to separate normal from abnormal cells, which is a 2 class problem. | en |
Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Full Paper | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2015-11-06 | - |
Date of Publication | 2006 | - |
Subject | Pap smear | en |
Subject | Papanicolaou smear | en |
Subject | Papanicolaou test | en |
Subject | pap test | en |
Subject | pap smear | en |
Subject | papanicolaou smear | en |
Subject | papanicolaou test | en |
Bibliographic Citation | Y. Marinakis ,G. Dounias. (2006).Nearest neighbor based pap smear cell classification using tabu search for feature selection.Presented at 2nd European Symposium on Nature-inspired Smart Information Systems.[online].Available:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.467.9354&rep=rep1&type=pdf | en |