| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322909 | Expert Systems with Applications | 2011 | 5 Pages |
Abstract
⺠Missing data must be handled in correct way in order to do not comprimise the validity of research. ⺠Completation techniques can lead to effective data imputation in order to preserve the power of the research results. ⺠Comparison results in a psychological scenario demonstrate that extentions to Fuzzy C-Means clustering can accurately complete datasets with missing values.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Alessandro G. Di Nuovo,