Abstract: The k-means algorithm is one of the most widely used methods for data clustering. However, traditional k-means can only be applied in the original feature space, limited to handle nonlinear ...

Learn how to build the Adam optimizer from scratch in Python. Perfect for beginners who want to understand how modern optimizers work in deep learning. #AdamOptimizer #DeepLearning #PythonTutorial As ...

GREENE COUNTY — A Greene County resident recently got lucky and won $50,000 playing the Ohio Lottery Billion Scratch Off, according to an Ohio Lottery press release. The lucky winner, who resides in ...

Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...

After updating to the latest version of Visual Studio Code (October 2025 update), Jupyter notebooks no longer connect to the Python kernel. Both Python and Jupyter work perfectly fine when launched ...

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...