KLASIFIKASI DATA MULTIDIMENSI MENGGUNAKAN SUBTRACTIVE CLUSTERING DAN K-NEAREST NEIGHTBOR 1092 165

Penulis

  • Nur Wakhidah

DOI:

https://doi.org/10.26623/transformatika.v10i1.65

Kata Kunci:

classification, subtractive clustering, k-nearest neighbour

Abstrak

Proses pengelompokan data (clustering) pada data multi dimensi dapat dilakukan dengan menggunakan algoritma  SubtractiveClustering. Dalam proses pengelompokan data (clustering) untuk menentukan pusat  cluster  (centroid), dipengaruhi oleh besarnya nilai parameter yang diantaranya  influence range, squash, accept_ratio  dan  reject_ratio.  Dan dalam  mengklasifikasikan data terdapat beberapa teknik yang dapat digunakan, salah satunya adalah  metode  k-Nearest Neightbor  yang mengklasifikasikan data dengan ketetanggaan sebagai nilai prediksi dari  query instance  yang baru.

Unduhan

Data unduhan tidak tersedia.

Referensi

Unduhan

Diterbitkan

2012-07-08

Terbitan

Vol 10 No 1 (2012): July 2012

Bagian

Artikel

Lisensi

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Transformatika is licensed under a  Creative Commons Attribution 4.0 International License.

Cara Mengutip

Wakhidah, N. (2012). KLASIFIKASI DATA MULTIDIMENSI MENGGUNAKAN SUBTRACTIVE CLUSTERING DAN K-NEAREST NEIGHTBOR. Jurnal Transformatika, 10(1), 11-19. https://doi.org/10.26623/transformatika.v10i1.65