n8n Workflowcomplex

23 Set up medoids (2 types) for anomaly detection (crops dataset)

An n8n workflow setting cluster centers (medoids) and threshold scores for anomaly detection on agricultural crop images. Uses Qdrant vector database for clustering and distance matrix APIs, Voyage AI multimodal embeddings, and Python scipy for sparse matrix operations.

Integrations
HTTP RequestSplitout
Tags
#medoid#setup#for#crop#anomaly
$69

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Delivered as .json workflow
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