Using DBSCAN to Analyze Animal Behavioral Data: A Case Study with Proximity Logger Data

Animal behavior analysis is crucial for understanding various aspects of ecology, wildlife management, and conservation efforts. One effective method to analyze such data is by using clustering algorithms, such as DBSCAN (Density-Based Spatial Clustering of Applications with Noise). In this blog post, we will explore how to use DBSCAN to analyze animal behavioral data using […]