ACADSTAFF UGM
| Title | : | Clustering Indonesian Patients with Personality Disorders using Fuzzy C-Means |
| Author | : |
ALIFIA LISTU SAMATHA (1) Afiahayati, S.Kom., M.Cs., Ph.D (2) Fuad Hamsyah, S.Psi., M.Sc. (3) |
| Date | : | 1 2021 |
| Keyword | : | Personality disorder, Fuzzy C-Means, Purity, Entropy Personality disorder, Fuzzy C-Means, Purity, Entropy |
| Abstract | : | Essentially, every individual has the potential to have a personality disorder but still within an appropriate limit. However, there are those who have an uncontrollable trigger which harms an individual from the disorder. It is very important to map comorbidity or the occurrence of more than one disorder in the same individual on personality disorders with its tendencies. At worst, if professionals fail to map any of the diagnosis, the patient will have to suffer from Dissociative Identity Disorder (DID), which is a serious type of dissociation that causes a loss of sense of identity. This research aims to cluster personality disorder cases into multiple clusters. In this research, the Fuzzy CMeans algorithm is going to be used to do the clustering task, and then its performance will be validated. The result shows that the C-Means clustering was best to perform clustering on the personality disorder dataset with the combination of parameter m = 3 for calculating centroid and m = 2 for calculating membership function. The validation score was 0.9461 for cluster purity and 0.2007 for cluster entropy which indicates a good clustering. |
| Group of Knowledge | : | Ilmu Komputer |
| Original Language | : | English |
| Level | : | Internasional |
| Status | : |
Published
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| No | Title | Action |
|---|---|---|
| 1 |
Paper-Clustering_merged.pdf
Document Type : [PAK] Full Dokumen
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