Data normalization in machine learning
In machine learning, the input data is often given in different dimensions. As a result of the scientific papers review, it is shown that the initial data described in different types of scales and units of measurement should be converted into a single representation by normalization or standardizat...
Saved in:
Main Authors: | V. V. Starovoitov, Yu. I. Golub |
---|---|
Format: | Article |
Language: | Russian |
Published: |
National Academy of Sciences of Belarus, the United Institute of Informatics Problems
2021-09-01
|
Series: | Informatika |
Subjects: | |
Online Access: | https://inf.grid.by/jour/article/view/1156 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hyperbolic normal almost contactmetric hypersurfaces in Euclidean 4-dimensional space
by: Angelė Baškienė
Published: (2005-12-01) -
On the normal approximation for weakly dependent random variables
by: Jonas Sunklodas
Published: (2005-12-01) -
Bio-convective Magnetohydrodynamic Flow of Tangent Hyperbolic Nanofluid over a Stretching Surface with Convective Heat and Slip Conditions
by: Utpal Jyoti Das, et al.
Published: (2025-05-01) -
Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling
by: MD Abdul Munnaf, et al.
Published: (2024-03-01) -
The normalizer problem for finite groups having normal $ 2 $-complements
by: Jidong Guo, et al.
Published: (2024-08-01)