An improvement algoithm for Iris classification by using Linear Support Vector Machine (LSVM), k-Nearest Neighbours (k-NN) and Random Nearest Neighbous (RNN) / Ahmad Haadzal Kamarulzalis and Mohd Asrul Affendi Abdullah

In machine learning, there are three type of learning branch that can used in classification procedures for data mining. Those branchconsist of supervised learning, unsupervised learning and reinforcement learning. This study focuses on supervised learning that seek to classify all the Iris dataset...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Asıl Yazarlar: Kamarulzalis, Ahmad Haadzal (Yazar), Abdullah, Mohd Asrul Affendi (Yazar)
Materyal Türü: Kitap
Baskı/Yayın Bilgisi: Unit Penerbitan UiTM Kelantan, 2019.
Konular:
Online Erişim:Link Metadata
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Internet

Link Metadata

3rd Floor Main Library

Detaylı Erişim Bilgileri 3rd Floor Main Library
Yer Numarası: A1234.567
Kopya Bilgisi 1 Kütüphanede