This project demonstrates the implementation of the K-Means Clustering algorithm using Python and Scikit-learn. It includes data generation, clustering, validation of the optimal K value using the ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

4.3 Choosing Optimal K Based on the Elbow Method and Silhouette Score, K = 3 was selected as the optimal number of clusters. While K = 2 achieved a slightly better score, it produced segments that ...