Improve Threshold Range of Canopy Clustering Using Optimization Algorithms
Ru Zhang · Asian Journal of Research in Computer Science · 2024
Canopy clustering is an effective method for determining the number of clusters dynamically without requiring a predefined cluster count, making it particularly suitable for large and complex datasets. However, its performance is highly dependent on the manual tuning of threshold...
Open access
Research Article
10.9734/ajrcos/2024/v17i12535