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[2/3] Set up medoids (2 types) for anomaly detection (crops dataset)

by FluxonLab Importadapted from SplitoutUpdated May 2026
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MaWhen clicking ‘Test workflow’When clicking ‘…HRTotal Points in CollectionTotal Points in…HRCluster Distance MatrixCluster Distanc…CoScipy Sparse MatrixScipy Sparse Ma…HRSet medoid idHRGet Medoid VectorGet Medoid Vect…SePrepare for Searching ThresholdPrepare for Sea…HRSearching ScoreSeThreshold ScoreHRSet medoid threshold scoreSet medoid thre…SOSplit Out1MeMergeSeTextual (visual) crop descriptionsTextual (visual…HREmbed textHRGet Medoid by TextGet Medoid by T…HRSet text medoid idSet text medoid…SePrepare for Searching Threshold1Prepare for Sea…SeThreshold Score1HRSearching Text Medoid ScoreSearching Text …SeMedoids VariablesMedoids Variabl…SeText Medoids VariablesText Medoids Va…SeQdrant cluster variablesQdrant cluster …SeInfo About Crop ClustersInfo About Crop…HRCrop CountsSOSplit OutHRSet text medoid threshold scoreSet text medoid…1234567891011121314151617181920212223242526
1/5
STEPS · 26
Run manually by an operator

On manual run, fetches a crops dataset over HTTP, computes two types of medoids in code, and prepares them for anomaly detection.

Tags

http-requestadvancedothersticky-notesplitoutmanualmanual-trigger
CategoryGeneral Automation
Triggermanual
Complexityadvanced
Nodes26
AddedMay 9, 2026