×

Combining adaptive vector quantization and prototype selection techniques to improve nearest neighbour classifiers. (English) Zbl 1274.68382

Summary: Prototype selection (PS) techniques have traditionally been applied prior to nearest neighbour (NN) classification rules both to improve its accuracy (editing) and to alleviate its computational burden (condensing). Methods based on selecting/discarding prototypes and methods based on adapting prototypes have been separately introduced to deal with this problem. Different approaches to this problem are considered in this paper and their main advantages and drawbacks are pointed out along with some suggestions for their joint application in some cases.

MSC:

68T10 Pattern recognition, speech recognition
62H30 Classification and discrimination; cluster analysis (statistical aspects)

Software:

LVQ_PAK
PDFBibTeX XMLCite
Full Text: Link

References:

[1] Devijver P. A., Kittler J.: Pattern Recognition. A Statistical Approach. Prentice Hall, 1982 · Zbl 0624.00015
[2] Ferri F., Vidal E.: Colour image segmentation and labelling through multiedit-condensing. Pattern Recognition Lett. 13 (1992), 8, 561-568
[3] Gates G. W.: The reduced nearest neighbor rule. IEEE Trans. Inform. Theory 18 (1972), 431-433 · doi:10.1109/TIT.1972.1054809
[4] Geva S., Sitte J.: Adaptive nearest neighbour pattern classification. IEEE Trans. Neural Networks 2 (1991), 2, 318-322 · doi:10.1109/72.80344
[5] Hart P. E.: The condensed nearest neighbor rule. IEEE Trans. Inform. Theory 14 (1968), 515-516 · doi:10.1109/TIT.1968.1054155
[6] Kohonen T.: Self-Organization and Associative Memory. Second edition. 1988 · Zbl 0659.68100
[7] Kohonen T., Kangas J., Laaksonen J., Torkkola K.: Lvq_pak: The Learning Vector Quantization Program Package. Technical Report, Helsinki Univ. of Tech., 1992
[8] Kraaijveld M. A., Duin R. P. W.: On backpropagation learning of edited data sets. Proc. of the Int. Neural Network Conf., 1990, pp. 741-744
[9] Lucas A. E., Kittler J.: A comparative study of the kohonen and multiedit neural net learning algorithms. 1st IEE Int. Conf. Artificial Neural Networks, 1991, pp. 7-11
[10] Wilson D. L.: Asymptotic properties of nearest neighbor rules using edited data. IEEE Trans. Systems Man Cybernet. 2 (1972), 3, 408-421 · Zbl 0276.62060 · doi:10.1109/TSMC.1972.4309137
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.