Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

While cosine similarity has been touted as the answer to helping SEO professionals navigate the demarcation of topics for taxonomy and site structures, I still maintain that search clustering by ...

Abstract: Clustering is one of the critical parts of machine learning algorithms. K-Means clustering is the standard technique that various data analysts use for clustering the data among the various ...

Abstract: In the present work, a neoteric image segmentation technique has been framed, which is stood on color of the image using an unsupervised K-means clustering. The color image is converted into ...

Color Quantization: Reduced the number of colors in the image using K-means clustering for a flat, cartoonish appearance. Smoothing: Used a bilateral filter to smooth color regions while preserving ...