Advanced Clustering Techniques in Data Science

Ravendracroma21 May, 2025Education

Advanced clustering techniques in data science include methods like DBSCAN, Mean Shift, and Gaussian Mixture Models. These techniques handle complex data distributions, noise, and varying cluster shapes or densities. Unlike basic K-means, they don’t always require predefined cluster numbers, making them suitable for high-dimensional, real-world datasets with non-linear structures.