WBBA-KM: A Hybrid Weight-Based Bat Algorithm with K-Means Algorithm For Cluster Analysis

Abstract

The performance of the bat algorithm has been improved by updating the velocity equation.  The proposed weight-based bat algorithm (WBBA) hybrited with the k-mean (KM) clustering algorithm to enhance the performance of the clusting analyze.  The proposed WBBA-KM clustering method has been applied on commonly used UCI datasets and has been compared with twelve clustering method in the literature.  The proposed WBBA-KM clustering method has been showed very promising results and can be used to cluster real world problems.

Determination of Thermal Bridge of the Buildings from Infrared Images

“…Makine öğrenmesi ve yapay sinir ağları (YSA) görüntü işleme ve sınıflandırma için yaygın olarak kullanılmaktadır [1,2]. Belirtilen yöntemler binalardaki ısı kaybının tespiti için gerçekleştirilen çalışmalarda da uygulanmıştır.…”