Sampath Deegalla, Henrik Boström. Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification. In M. Arif Wani, Tao Li, Lukasz A. Kurgan, Jieping Ye, Ying Liu, editors, The Fifth International Conference on Machine Learning and Applications, ICMLA 2006, Orlando, Florida, USA, 14-16 December 2006. pages 245-250, IEEE Computer Society, 2006. [doi]
@inproceedings{DeegallaB06,
title = {Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification},
author = {Sampath Deegalla and Henrik Boström},
year = {2006},
doi = {10.1109/ICMLA.2006.43},
url = {http://dx.doi.org/10.1109/ICMLA.2006.43},
tags = {classification, analysis, data-flow analysis},
researchr = {https://researchr.org/publication/DeegallaB06},
cites = {0},
citedby = {0},
pages = {245-250},
booktitle = {The Fifth International Conference on Machine Learning and Applications, ICMLA 2006, Orlando, Florida, USA, 14-16 December 2006},
editor = {M. Arif Wani and Tao Li and Lukasz A. Kurgan and Jieping Ye and Ying Liu},
publisher = {IEEE Computer Society},
isbn = {0-7695-2735-3},
}