Weighted k-Nearest Neighbors를 이용한 결측치 대치

임찬희 ( Chan Hui Lim ) 김동재 ( Dong Jae Kim ) 2015년

논문상세정보

인용/피인용

논문영향력 요약
동일주제 총논문수	논문피인용 총횟수	주제별 논문영향력의 평균
주제	imputation k-nearestneighbors k-최근접이웃 missing value 결측치 대치법
78	0	0.0%

논문영향력
주제		주제별 논문수	주제별 논문영향력
주제어	imputation	31	0.0%
	k-nearestneighbors	12	0.0%
	k-최근접이웃	7	0.0%
	missing value	13	0.0%
	결측치	12	0.0%
	대치법	3	0.0%
계		78	0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수

Pattern recognition with partly missing data
Dixon, J. K. IEEE Transactions on Systems, Man, and Cybernetics 9 : 617 ~ 621 [1979]
On the use of sequential adaptive nearest neighbors for missing value imputation
Park, S. H. The Korean Journal of Applied Statistics 24 : 1249 ~ 1257 [2011]
On the use of clustering method for missing value imputation
Jang, H. J. Korea University [2004]
On the use of adaptive nearest neighbors for missing value imputation
Jhun, M. S. Communications in Statistics: Simulation and Computation 36 : 1275 ~ 1286 [2007]
Missing value estimation methods for DNA microarrays
Troyanskaya, O. Bioinformatics 17 : 520 ~ 525 [2001]
Medical Statistics Needed for Drug Development
Kang, S. H. Freeca [2013]
Imputation of missing values
Yun, S. C. Journal of Preventive Medicine and Public Health 37 : 209 ~ 211 [2004]
A study on statistical matching technique using the weighted k-nearest neighbor method
Kim, H. K. Dongguk University [2010]