EN
TR
DIMENSIONALITY REDUCTION METHODS: PCR, PLSR, RRR AND A HEALTH APPLICATION
Öz
Working with data set that has many variables or has fewer observation units than variables leads to difficulties in statistical analysis. In this situation dimension reduction is a necessary part of the data analysis. It is necessary because, it provides working with a subset of the existing features or to transform to a new reduced set of features and working with low dimensional data and simplify the data model by working with parsimonious model. There are some dimensionality reduction methods and all of them lean to use a linear combinations of m variables by reducing m dimensional data set to a dimensional data set (avariability in the variables. This paper provides study of three dimension reduction techniques, namely Principal Component Regression (PCR), Partial Least squares Regression (PLSR), and Reduced Rank Regression (RRR), and they were illustrated on a data set that has PCOS disease to help to choose the efficient factors (latent variables) for modeling and predicting fsh and lh hormones when the data set has small number of observation unit.)>
Anahtar Kelimeler
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
1 Mart 2011
Gönderilme Tarihi
8 Ağustos 2014
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2011 Cilt: 6 Sayı: 2
APA
Bulut, E., & Alma, Ö. G. (2011). DIMENSIONALITY REDUCTION METHODS: PCR, PLSR, RRR AND A HEALTH APPLICATION. Physical Sciences, 6(2), 36-47. https://izlik.org/JA59KU55MH
AMA
1.Bulut E, Alma Ö G. DIMENSIONALITY REDUCTION METHODS: PCR, PLSR, RRR AND A HEALTH APPLICATION. Physical Sciences. 2011;6(2):36-47. https://izlik.org/JA59KU55MH
Chicago
Bulut, Elif, ve Özlem GÜRÜNLÜ Alma. 2011. “DIMENSIONALITY REDUCTION METHODS: PCR, PLSR, RRR AND A HEALTH APPLICATION”. Physical Sciences 6 (2): 36-47. https://izlik.org/JA59KU55MH.
EndNote
Bulut E, Alma Ö G (01 Mart 2011) DIMENSIONALITY REDUCTION METHODS: PCR, PLSR, RRR AND A HEALTH APPLICATION. Physical Sciences 6 2 36–47.
IEEE
[1]E. Bulut ve Ö. G. Alma, “DIMENSIONALITY REDUCTION METHODS: PCR, PLSR, RRR AND A HEALTH APPLICATION”, Physical Sciences, c. 6, sy 2, ss. 36–47, Mar. 2011, [çevrimiçi]. Erişim adresi: https://izlik.org/JA59KU55MH
ISNAD
Bulut, Elif - Alma, Özlem GÜRÜNLÜ. “DIMENSIONALITY REDUCTION METHODS: PCR, PLSR, RRR AND A HEALTH APPLICATION”. Physical Sciences 6/2 (01 Mart 2011): 36-47. https://izlik.org/JA59KU55MH.
JAMA
1.Bulut E, Alma Ö G. DIMENSIONALITY REDUCTION METHODS: PCR, PLSR, RRR AND A HEALTH APPLICATION. Physical Sciences. 2011;6:36–47.
MLA
Bulut, Elif, ve Özlem GÜRÜNLÜ Alma. “DIMENSIONALITY REDUCTION METHODS: PCR, PLSR, RRR AND A HEALTH APPLICATION”. Physical Sciences, c. 6, sy 2, Mart 2011, ss. 36-47, https://izlik.org/JA59KU55MH.
Vancouver
1.Elif Bulut, Özlem GÜRÜNLÜ Alma. DIMENSIONALITY REDUCTION METHODS: PCR, PLSR, RRR AND A HEALTH APPLICATION. Physical Sciences [Internet]. 01 Mart 2011;6(2):36-47. Erişim adresi: https://izlik.org/JA59KU55MH