Combining k-Nearest Neighbor and Centroid Neighbor Classifier for Fast and Robust Classification

Author:

Chmielnicki Wiesław

Publisher

Springer International Publishing

Reference28 articles.

1. Altincay, H.: Improving the k-nearest neighbour rule: using geometrical neighbourhoods and manifold-based metrics. Expert Syst. Wiley Online Libr. 28(4), 391–406 (2011)

2. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines (2001). Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm

3. Chmielnicki, W., Sta̧por, K.: Protein fold recognition with combined SVM-RDA classifier. In: Graña Romay, M., Corchado, E., Garcia Sebastian, M.T. (eds.) HAIS 2010, Part I. LNCS (LNAI), vol. 6076, pp. 162–169. Springer, Heidelberg (2010)

4. Chmielnicki, W., Stapor, K.: Investigation of normalization techniques and their impact on a recognition rate in handwritten numeral recognition. Schedae Informaticae 19, 53–77 (2010)

5. Chmielnicki, W., Stapor, K.: A hybrid discriminative/generative approach to protein fold recognition. Neurocomputing 75(1), 194–198 (2012)

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