• When should I use clusters?
• Which algorithm should I use, K-means or G-means?
• Which types of fields does BigML support to build clusters?
• How does BigML calculate centroids for clusters?
• How does BigML calculate the distance between instances to create clusters?
• Is the distance between clusters relevant?
• Can I build a model from a cluster?
• Can I build clusters and centroids if my dataset has missing values?
• How can I treat missing numeric values to build clusters and centroids?
• Why do I need to scale certain fields?
• How can I freeze the cluster view?