1 |
Chang DJ and Kwon Y M (2008). Medical diagnosis inference using neural network and discriminant analyses, Journal of Korean Data & Information Science Society, 19, 511-518.
|
2 |
Fix E and Hodges JL (1951). Discriminatory analysis - nonparametric discrimination: consistency properties, Technical Report 4, Texas, United States.
|
3 |
Friedman J (1994). Flexible Metric Nearest Neighbor Classification, Standford University, United States.
|
4 |
Hastie T and Tibshirani R (1996). Discriminant adaptive nearest neighbor classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 607-616.
DOI
|
5 |
Jhun MS and Choi IK (2009). Adaptive nearest neighbors for classification. The Korean Journal of Applied Statistics, 22, 479-488.
DOI
|
6 |
Kang JK and Jhun MS (2020a). Divide-and-conquer random sketched kernel ridge regression for large-scale data analysis, Journal of Korean Data & Information Science Society, 31, 15-23.
DOI
|
7 |
Kang JK and Jhun MS (2020b). Variable selection in reproducing kernel Hilbert space using random sketch method, Journal of Korean Data & Information Science Society, 31, 501-511.
DOI
|
8 |
Mohino-Herranz I, Gil-Pita R, Rosa-Zurera M, and Seoane F (2019). Activity recognition using wearable physiological measurements: selection of features from a comprehensive literature study, Sensors, 19, 5524.
DOI
|
9 |
Trefethen LN and Bau D III. (1997). Numerical linear algebra, Society for Industrial and Applied Mathematics, Philadelphia, United States.
|
10 |
Bingham E and Mannila H (2001). Random projection in dimensionality reduction: applications to image and text data. In Proceedings of the seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, 245-250.
|
11 |
Hall P, Park BU, and Samworth RJ (2008). Choice of neighbour order in nearest-neighbour classification, Annals of Statististics, 36, 2135-2152.
|
12 |
Johnson WB and Lindenstrauss J (1984). Extensions of Lipschitz mappings into a Hilbert space, Contemporary Mathematics, 26 189-206.
DOI
|
13 |
Kang SA, Kim YS, and Choi SH (2015). Study on the social issue sentiment classification using text mining, Journal of Korean Data & Information Science Society, 26, 1167-1173.
DOI
|
14 |
Shasha DE and Zhu Y (2004). High Performance Discovery in Time Series: Techniques and Case Studies. Springer Science & Business Media, New York.
|
15 |
Devroye L, Gyorfi L, and Lugosi G (1996). A Probabilistic Theory of Pattern Recognition, Springer, New York.
|
16 |
Kim TH and Kim YH (2013). A study on the analysis of customer loan for the credit finance company using classification model, Journal of Korean Data & Information Science Society, 24, 411-425.
DOI
|
17 |
Cannings TI and Samworth RJ (2017). Random-projection ensemble classification, Journal of the Royal Statistical Society Series B: Statistical Methodology, 79, 959-1035.
DOI
|