In machine learning and data science literature, clustering is the task of dividing the observations (data points) into … Gallup World Poll. Our study proposes a useful clustering approach with a very high degree of accuracy to classify different … countries of the world based on several economic and social indicators. The most appropriate clustering algorithm has been …

Patent studies inform our understanding of innovation. Any study of patenting involves classifying patent data … propose a new methodology to automate patent classification. We contrast existing taxonomies with our own upon a widely used … patent dataset. In a regression analysis of patent classes upon patent characteristics, we show that classification bias …