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.

Kimi K2.7-Code cuts thinking tokens 30% — but practitioners say the benchmarks don't check out

Kimi K2.7-Code claims 30% fewer thinking tokens and a drop-in API swap path, but independent benchmarks show kernel regressions and no DeepSWE submission.
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 ...
C&EN

Systematic Comparison of Genetic Algorithm and Basin Hopping Approaches to the Global Optimization of Si(111) Surface Reconstructions

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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 ...