Akaike’s Information Criterion for Linearly Separable Clusters
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Akaike’s Information Criterion for Linearly Separable Clusters |
| 2. | Creator | Author's name, affiliation, country | Roberto N. Padua; ORCID No. 0000-0002-2054-0835. Consultant, Liceo de Cagayan University, Cagayan de Oro City; Philippines |
| 2. | Creator | Author's name, affiliation, country | Maria Eda B. Arado; ORCID NO. 0000-0002-4353-3953. Mindanao University of Science and Technology, Cagayan de Oro City; Philippines |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | |
| 4. | Description | Abstract | Using the Akaike Information Criterion (AIC) in cluster analysis with linearly separable components, the paper demonstrates the superiority of using the vector of slopes as inputs to the K-Means algorithm over using the raw data in determining the number of clusters.  Keywords - AIC(Akaike’s Information Criterion), Kullback-Leibler information, cluster analysis, linear separability  |
| 5. | Publisher | Organizing agency, location | Liceo de Cagayan University |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2013-12-17 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://asianscientificjournals.com/publication/index.php/ljher/article/view/639 |
| 10. | Identifier | Digital Object Identifier | 10.7828/ljher.v9i1.639 |
| 11. | Source | Journal/conference title; vol., no. (year) | Liceo Journal of Higher Education Research; Vol 9, No 1 (2013): December |
| 12. | Language | English=en | en |
| 13. | Relation | Supp. Files | |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions | |