Bubble algorithm for the reduction of reference

• Autorzy: Sierszeń A.
• Języki publikacji: EN

Słowa kluczowe

EN

pattern recognition; nearest neighbour rule; reference set condensation; reference set reduction; bubble algorithms

PL

rozpoznawanie wzorców; reguła najbliższego sąsiada; kondensacja zbioru odniesienia; redukcja zbioru odniesienia; algorytmy bańki

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2010
• Tom: Vol. 16
• Strony: 117--123
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Sierszeń A.

• Technical University of Łódź, Computer Engineering Department, Stefanowskiego 18/22, 90-924, Łódź

Bibliografia

• [1] DUDA R.O., HART P.E., STORK D.G.: Pattern Classification – Second Edition, John Wiley & Sons, Inc, 2001.
• [2] FIX E., HODGES J.L. Jr., Discriminatory Analysis - Nonparametric Discrimination: Consistency Properties, Project 21-49-004, Report No. 4, US AF School of Aviation Medicine, Randolph Field, Tex., 1951, pp. 261–279.
• [3] JÓŹWIK A., A learning scheme for a fuzzy k-NN rule, Pattern Recognition Letters, Vol. 1, No. 5–6, 1983, pp. 287–289.
• [4] JÓŹWIK A., CHMIELEWSKI L., CUDNY W., SKŁODOWSKI M., A 1-NN preclassifier for fuzzy k-NN rule, 13th International Conference on Pattern Recognition, Vienna, Austria, Vol. IV, track D, 1996, pp. 234–238.
• [5] KELLER J.M., GRAY M.R., GIVENS JR., J.A., A Fuzzy k-Nearest Neighbor Algorithm, IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-15, No. 4, 1985, pp. 580–585.
• [6] KUNCHEVA L.I., Reducing the Computational Demand of the Nearest Neighbor Classifier, School of Informatics, Symposium on Computing 2001, Aberystwyth, UK, 2001, pp. 61–64.
• [7] SÁNCHEZ J.S., PLA F., FERRI F.J., On the use of neighbourhood-based non-parametric classifiers, Pattern Recognition Letters, Vol. 18, No. 11–13, 1997, pp. 1179–1186.
• [8] HORT R.D., FUKUNAGA K., A new nearest neighbour distance measure, 5th IEEE International Conference on Pattern Recognition, Miami Beach, Florida, USA, 1980, pp. 81–86.
• [9] SHORT R.D., FUKUNAGA K., The optimal distance measure for nearest neighbour classification, IEEE Transactions on Information Theory, Vol. IT-27, 1981, pp. 622–627.
• [10] SIERRA B., LARRAÑAGA P., INZA I., K Diplomatic Nearest Neighbour: giving equal chance to all existing classes, Journal of Artificial Intelligence Research, 2000.