GitHub

Linear Algebra Applications in Data Clustering

This project implements clustering algorithms from scratch using Python and NumPy. It was developed as a Linear Algebra for Computer Science project and focuses on applying core linear algebra ...
C&EN

Conserved Water Networks Identification for Drug Design Using Density Clustering Approaches on Positional and Orientational Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
eLife

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys

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

PratyanshuMishra07/K-Means-Clustering-using-machine-learning

k‑means is a clustering algorithm that automatically groups similar data points together into K groups (clusters). K (like 3 or 4 clusters), and the algorithm finds K “centers” (centroids) such that ...
Frontiers

Time series clustering reveals three evolution patterns of duty-related crimes in construction engineering

More recently, Shi et al. (2024) integrated k-means clustering with DTW distance to identify time-series patterns of economic crime amounts across successive criminal acts, revealing distinct ...
C&EN

Predicting the Diagnostic Information of Tandem Mass Spectra of Environmentally Relevant Compounds Using Machine Learning

Faculty of Science, Artificial Intelligence, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands ...