TY  - JOUR 
AU  - Sáez, José Antonio
AU  - Corchado Rodríguez, Emilio Santiago
PY  - 2019
SN  - 2169-3536
UR  - http://hdl.handle.net/10366/161923
AB  - [EN]The typical inaccuracy of data gathering and preparation procedures makes erroneous and unnecessary information to be a common issue in real-world applications. In this context, feature selection methods are used in order to reduce the harmful...
LA  - eng
PB  - IEEE
KW  - Big data
KW  - Clustering
KW  - Feature selection
KW  - Statistical tests
KW  - Unsupervised learning
KW  - Pattern Recognition, Automated
KW  - Expert Systems
TI  - KSUFS: A Novel Unsupervised Feature Selection Method Based on Statistical Tests for Standard and Big Data Problems
DO  - 10.1109/ACCESS.2019.2930355
T2  - IEEE Access
VL  - 7
M2  - 99754
ER  -