Cluster Rush - Unveiling the Dynamic World of Clustering Slgorithms

DBSCAN (Density-Based Spatial Clustering of Applications with Noise):

DBSCAN identifies clusters based on data density.

It's particularly effective in distinguishing noise from meaningful patterns.

Mean Shift:

Mean Shift identifies clusters by locating the peaks in data density.

It adapts to varying cluster shapes and sizes.

Applications of Cluster Rush:

Customer Segmentation:

Businesses utilize clustering to categorize customers based on purchasing behavior, demographics, or preferences.

Image Segmentation:

In computer vision, clustering aids in segmenting images, identifying distinct regions or objects.