K-means clustering is one of the most widely recognized and utilized algorithms in the realm of unsupervised machine learning. With its roots in vector quantization and signal processing, this technique has found its application in diverse areas ranging from image segmentation to market segmentation. But what makes k-means clustering so prevalent in the data science community? Is
