[2/3] Set up medoids (2 types) for anomaly detection (crops dataset)
Setting Up Medoids for Anomaly Detection Preparatory workflow to set cluster centres and cluster threshold scores, so anomalies can be detected based on these thresholds Here, we're using two approaches to set up these centres: the upper branch is the "distance matrix approach", and the lower is the "multimodal embedding model approach".
Integrations Used (1)
Prerequisites
Required Credentials (2)
Complexity
Expert level. Custom code, complex logic, many integrations.
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