Abstract: Aiming at the problems of the classical data classification method, this paper proposes a method using genetic algorithm and K-means algorithm to classify data. In order to improve the ...

Abstract: Imbalanced data clustering is a challenging problem in machine learning. The main difficulty is caused by the imbalance in both cluster size and data density distribution. To address this ...

If you've been using AI tools for chemistry lab reports or physics problem sets in 2026, you're likely already experiencing a major shift: these tools are no longer just chatbots you copy-paste from.