Improving Subgrouping Accuracy in Dynamic Network Models Through Feature Selection
Bibliographic Data
| ID | 19290347 |
|---|---|
| Authors | Di Zhou (0000-0001-6185-8199, University of California, Davis, corresponding author), Di Jody Zhou (University of California System), Sebastian Castro-Alvarez (0000-0002-1326-0827, University of California System), Siwei Liu (0000-0002-2972-426X, University of California System) |
| Year | 2025 |
| Volume | 60 |
| Issue | 1 |
| Pages | 28-29 |
| Publication date | 2025-01-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00273171.2025.2443368 |
| OpenAlex | W4409089901 |
| Language | EN |
| References cited | 2 |
Dynamic psychological processes often vary across individuals. Identifying subgroups of individuals with differential person-specific dynamics is of great interest in health and behavioral science
Data mining · Feature (linguistics) · Feature selection · Machine learning · Pattern recognition (psychology) · Selection (genetic algorithm) · Algorithms and Data Compression · Artificial Intelligence · Bayesian Methods and Mixture Models · Complex Network Analysis Techniques · Computer Science
| Highly cited | No |
|---|