Jan 13, 2022 · In this paper, incremental feature selection algorithms based on information granularity are developed for dynamic partially labeled hybrid data with the ...
Therefore, in this paper, incremental feature selection algorithms based on information granularity are developed for dynamic partially labeled hybrid data with ...
(1) Incremental computations of information granularity are given when an object set in the partially labeled hybrid data changes dynamically;. (2) Incremental ...
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Intermediate feature selection algorithms based on information granularity are developed for dynamic partially labeled hybrid data with the variation of an ...
A two-stage incremental feature selection algorithm is developed by integrating sample selection scheme into feature-based accelerator.
To deal with dynamic hybrid data with mixed-type features, we propose a neighborhood entropy-based incremental feature selection framework by neighborhood rough ...
Information granularity-based incremental feature selection for partially labeled hybrid data. Request PDF. Restricted access. Intelligent Data Analysis.
Intermediate feature selection algorithms based on information granularity are developed for dynamic partially labeled hybrid data with the variation of an ...
In this paper, based on the idea of decomposition and fusion, an efficient feature selection approach for large-scale hybrid data sets is studied. According to ...
Thus, our research examines experimentally how granularity level affects both the classification accuracy and the size of feature subset for feature selection.