TY - GEN
T1 - Gene function classification using fuzzy K-Nearest Neighbor approach
AU - Li, Dan
AU - Deogun, Jitender S.
AU - Wang, Kefei
PY - 2007
Y1 - 2007
N2 - Prediction of gene function is a classification problem. Given its simplicity and relatively high accuracy, K-Nearest Neighbor (KNN) classification has become a popular choice for many real life applications. However, traditional KNN approach has two drawbacks. First, it cannot identify classes that do not exist in the training data sets. Second, it treats all K neighbors in a similar way without consideration of the distance differences between the test instance and its neighbors. In this paper, exploiting the potential of fuzzy set theory to handle uncertainty in data sets, we develop a fuzzy KNN approach for gene function classification. Experiments show that integrating fuzzy set theory into original KNN approach improves the overall performance of the classification model.
AB - Prediction of gene function is a classification problem. Given its simplicity and relatively high accuracy, K-Nearest Neighbor (KNN) classification has become a popular choice for many real life applications. However, traditional KNN approach has two drawbacks. First, it cannot identify classes that do not exist in the training data sets. Second, it treats all K neighbors in a similar way without consideration of the distance differences between the test instance and its neighbors. In this paper, exploiting the potential of fuzzy set theory to handle uncertainty in data sets, we develop a fuzzy KNN approach for gene function classification. Experiments show that integrating fuzzy set theory into original KNN approach improves the overall performance of the classification model.
UR - http://www.scopus.com/inward/record.url?scp=46749136455&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46749136455&partnerID=8YFLogxK
U2 - 10.1109/GRC.2007.4403179
DO - 10.1109/GRC.2007.4403179
M3 - Conference contribution
AN - SCOPUS:46749136455
SN - 076953032X
SN - 9780769530321
T3 - Proceedings - 2007 IEEE International Conference on Granular Computing, GrC 2007
SP - 644
EP - 647
BT - Proceedings - 2007 IEEE International Conference on Granular Computing, GrC 2007
T2 - 2007 IEEE International Conference on Granular Computing, GrC 2007
Y2 - 2 November 2007 through 4 November 2007
ER -