Closed paritachavda closed 3 years ago
Compared various clusterinng algorithms: 1. Affinity Propogation 2. Agglomerative Clustering 3. Birch 4. KMeans 5. Mini Batch KMeans 6. Mean Shift 7. OPTICS 8. Gaussian Mixture 9. DBSCAN" based on evaluation metrics 1. Silhouette score 2. Calinski-Harabasz index 3. Davies-Bouldin index 4. Bayesian information criterion(BIC) 5. Akaike information criterion(AIC) for one metric (CPU usage [%]','Memory usage [%]','Disk read throughput [KB/s]', 'Disk write throughput [KB/s]).
Compared various clusterinng algorithms: 1. Affinity Propogation 2. Agglomerative Clustering 3. Birch 4. KMeans 5. Mini Batch KMeans 6. Mean Shift 7. OPTICS 8. Gaussian Mixture 9. DBSCAN" based on evaluation metrics 1. Silhouette score 2. Calinski-Harabasz index 3. Davies-Bouldin index 4. Bayesian information criterion(BIC) 5. Akaike information criterion(AIC) for one metric (CPU usage [%]','Memory usage [%]','Disk read throughput [KB/s]', 'Disk write throughput [KB/s]).