JONGKWON JO, SEUNGHA JUNG, JOONGYANG PARK, YOUNGSOON KIM und MINGON KANG, 2022. Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data. PLo S ONE, Vol 17, Iss 12 (2022. 1 Januar 2022.
Elsevier - Harvard (with titles)Jongkwon Jo, Seungha Jung, Joongyang Park, Youngsoon Kim, Mingon Kang, 2022. Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data. PLo S ONE, Vol 17, Iss 12 (2022.
American Psychological Association 7th editionJongkwon Jo, Seungha Jung, Joongyang Park, Youngsoon Kim, & Mingon Kang. (2022). Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data. PLo S ONE, Vol 17, Iss 12 (2022.
Springer - Basic (author-date)Jongkwon Jo, Seungha Jung, Joongyang Park, Youngsoon Kim, Mingon Kang (2022) Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data. PLo S ONE, Vol 17, Iss 12 (2022
Juristische Zitierweise (Stüber) (Deutsch)Jongkwon Jo/ Seungha Jung/ Joongyang Park/ Youngsoon Kim/ Mingon Kang, Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data, PLo S ONE, Vol 17, Iss 12 (2022 2022.