An Improved Hybrid Feature Selection Method for Huge Dimensional Datasets
نویسندگان
چکیده
منابع مشابه
Improved PSO for Feature Selection on High-Dimensional Datasets
Classification on high-dimensional (i.e. thousands of dimensions) data typically requires feature selection (FS) as a pre-processing step to reduce the dimensionality. However, FS is a challenging task even on datasets with hundreds of features. This paper proposes a new particle swarm optimisation (PSO) based FS approach to classification problems with thousands or tens of thousands of feature...
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ژورنال
عنوان ژورنال: IAES International Journal of Artificial Intelligence (IJ-AI)
سال: 2019
ISSN: 2252-8938,2089-4872
DOI: 10.11591/ijai.v8.i1.pp77-86