Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
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

Implemented K-Means Clustering with Elbow Method, KneeLocator, and Silhouette Score

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 ...
IEEE

WB-CPI: Weather Based Crop Prediction in India Using Big Data Analytics

Abstract: This paper aims at collecting and analysing temperature, rainfall, soil, seed, crop production, humidity and wind speed data (in a few regions), which will help the farmers improve the ...
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 ...
GitHub

exercise_08_clustering_stocks_using_kmeans.ipynb

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
AHA/ASA Journals

Neighborhood Social Determinants of Health and Referral to Cardiac Rehabilitation: An Analysis of the Get With The Guidelines–Coronary Artery Disease Registry

BACKGROUND: Despite strong guideline recommendations for cardiac rehabilitation (CR) following an acute myocardial infarction ...
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 ...