Köpek Gezdirici Segmentasyonu Dog Walker Segmentation
Alperen Ercan, Baris Karan, Tuna E. Çakar · 2022 30th Signal Processing and Communications Applications Conference (SIU) · 2022
In this study dog walkers were separated into clusters according to walkers’ walk habits. Due to the fact that the distributions were non-normal, normalization algorithms were applied before the onset of clustering. After normalizing, K Means algorithm and Gaussian Mixture Models used for finding optimum cluster count. According to these clusters, walkers’ consecutive months separated to follow-up their behavioral traits. This part of the study adds value to the project to examine walkers’ behaviors closer.