Feature selection in threes: neighborhood relevancy, redundancy, and granularity interactivity
As a fundamental granular computing strategy, neighborhood granulation has been
acknowledged as an intuitive and effective approach to feature evaluation and selection …
acknowledged as an intuitive and effective approach to feature evaluation and selection …
Research on the method of hypergraph construction of information systems based on set pair distance measurement
J Wang, S Lan, X Li, M Lu, J Guo, C Zhang, B Liu - Electronics, 2023 - mdpi.com
As a kind of special graph of structured data, a hypergraph can intuitively describe not only
the higher-order relation and complex connection mode between nodes but also the implicit …
the higher-order relation and complex connection mode between nodes but also the implicit …
A local rough set method for feature selection by variable precision composite measure
Feature selection using variable precision neighborhood rough sets (VPNRS) has garnered
considerable attention in data mining and knowledge discovery. Nevertheless, the positive …
considerable attention in data mining and knowledge discovery. Nevertheless, the positive …
Distance metric learning-based multi-granularity neighborhood rough sets for attribute reduction
S Cui, G Li, B Sang, W Xu, H Chen - Applied Soft Computing, 2024 - Elsevier
Attribute reduction is a hot research topic in data mining, in which rough set theory-based
attribute reduction methods have been widely focused. The neighborhood rough set (NRS) …
attribute reduction methods have been widely focused. The neighborhood rough set (NRS) …
Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity
Partial label learning (PLL) tackles scenarios where the unique ground-truth label of each
sample is concealed within a candidate label set. Dimensionality reduction, considering …
sample is concealed within a candidate label set. Dimensionality reduction, considering …
Granular ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method
Human cognition has a``large-scale first''cognitive mechanism, therefore possesses
adaptive multi-granularity description capabilities. This results in computational …
adaptive multi-granularity description capabilities. This results in computational …