Data Segmentation & Isolation
Clustering analysis is a fundamental technique in data science, used to group similar data points together. However, traditional clustering methods often struggle with datasets that contain both continuous and categorical variables, a common scenario in real-world clinical data. This article explores a novel clustering technique, the DAFI-Gower
In today’s digital age, sensitive data is a lucrative target for cyberattacks and compliance violations, making its effective classification vital for safeguarding information. Understanding this, Intuit recently hosted its inaugural Data Classification Challenge, assembling 20 of the most advanced data security vendors from the U.S. and Israel.