Implementasi Algoritma K-Means++ Untuk Klasterisasi Polutan Udara Kota Pekanbaru

Increased industrial, transportation, and other anthropogenic activities have led to high emissions of air pollutants that have a significant impact on public health and the environment, especially in big cities such as Pekanbaru. This study implements the K-Means++ algorithm in clustering air pollutants in Pekanbaru City to obtain information on important patterns of the clusters formed. The d…