Cirebon Mask Classification using Robust K-Nearest Neighbour
Indonesia culture captivates people both domes-tically and internationally. One of the prominent cultures isCirebon Mask. There are five types of Cirebon masks: Panji,Samba, Rumyang, Tumenggung, and Kelana. In this work, wepresent texture features using first order statistical feature withoutlier detection using z-score while K-Nearest Neighbour actedas the classifier. From this experiment our proposed methodsincrease the accuracy up to 10 % compared to basic method
Detail Information
| Bagian |
Informasi |
| Pernyataan Tanggungjawab |
|
| Pengarang |
Felix Indra Kurniadi - Personal Name
|
| Edisi |
|
| No. Panggil |
|
| Subyek |
|
| Klasifikasi |
|
| Judul Seri |
|
| GMD |
Jurnal |
| Bahasa |
Indonesia |
| Penerbit |
Universitas AMIKOM |
| Tahun Terbit |
2019 |
| Tempat Terbit |
Yogyakarta |
| Deskripsi Fisik |
|
| Info Detil Spesifik |
|
Citation
. (2019).Cirebon Mask Classification using Robust K-Nearest Neighbour.(Electronic Thesis or Dissertation). Retrieved from https://localhost/etd
