1 |
Makarenkov, V. and Legendre, P. (2001). Optimal variable weighting for ultrametric and additive trees and k-means partitioning: methods and software, Journal of Classification, 18. 245-271
|
2 |
Quinlan, J.R. (1993). C4.5 Programs for Machine Learning, Morgan Kaufmann, CA: San Mateo
|
3 |
강현철, 한상태, 최종후 (2000). 의사결정나무를 활용한 데이터마이닝 예측모형 해석, <한국통계학회 학술발표회 논문집>, 2000년 춘계. 39-44
|
4 |
최대우, 구자용, 최용석 (2004). 배경자료를 이용한 나무군집의 군집분석, <응용통계연구>, 17, 535-545
|
5 |
Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J. (1984). Classification and Regression Trees, Wadsworth, CA: Belmont
|
6 |
Liu, B., Xia, Y. and Yu, P.S. (2000). Clustering through decision tree construction, IBM Research Report RC21695
|
7 |
DeSarbo, W.S., Carrol, J.D., and Clark, L.A., and Green, P.E. (1984). Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables, Psychometrika, 49, 57-78
DOI
|
8 |
Kass, G. (1980). An exploratory technique for investigating large quantities of categorical data, Applied Statistics, 29, 119-219
DOI
ScienceOn
|