Yazar
Gümüş, H., Korkmaz Özay, E., Arı, İsmail, Çataltepe, Z.
Basım Tarihi
2012
Basım Yeri
-
IEEE
Konu
Iterative methods, Pattern clustering
Tür
Belge
Dil
Türkçe
Dijital
Evet
Yazma
Hayır
Kütüphane
Özyeğin Üniversitesi
Demirbaş Numarası
978-1-4673-0055-1
Kayıt Numarası
512928b3-7fec-4fb0-ae8d-644fa64275ab
Lokasyon
Computer Science
Tarih
2012
Notlar
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin
Clustering is a common technique, in all areas where information is obtained from the collected data. In this work, three well-known clustering algorithms namely, K-means, Spectral and DBSCAN are investigated in terms of their validity using four clustering validity indexes, Rand, Adjusted Rand, Jaccard, Silhouette. These clustering algorithms are applied on three data
sets which have different characteristics. Thus steps have been taken for an automated clustering optimization system.
DOI
10.1109/SIU.2012.6204721
