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 ...

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 ...

Unfortunately, traditional clustering methods cannot impose constrains on cluster sizes. In this paper, we propose some vital modifications to the standard k-means algorithm such that it can ...

This project focuses on analyzing customer behavior to uncover patterns that drive retention and churn. Using data-driven insights, we segment customers into distinct groups and build predictive ...

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 ...

Jonathan Graves from Briarcliff Manor, N.Y.: "As an expat Brit living in California for many years and now New York, Python has always been a means for me to hang onto my essential Britishness.

Billy Evans has two children with the Theranos founder, who is in prison for fraud. He’s now trying to raise money for a testing company that promises “human health optimization.” By Rob ...