Dontopedia

Silhouette Score

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-18.)

Silhouette Score has 7 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

7 facts·6 predicates·3 sources·1 in dispute

Mostly:measures(2), rdf:type(1), value range minimum(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (4)

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calculatesCalculates(1)

computesComputes(1)

hasTopicHas Topic(1)

usesMetricUses Metric(1)

Other facts (7)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

7 facts
PredicateValueRef
MeasuresCohesion and Separation[2]
MeasuresCohesion Vs Separation[3]
Rdf:typeMetric[1]
Value Range Minimum-1[1]
Value Range Maximum1[1]
Interpretationhigher-values-indicate-better-defined-clusters[1]
Used byEvaluation Function[1]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/150d3ab0-4c59-4efc-b47d-5284bb249422
ex:Metric
valueRangeMinimumbeam/150d3ab0-4c59-4efc-b47d-5284bb249422
-1
valueRangeMaximumbeam/150d3ab0-4c59-4efc-b47d-5284bb249422
1
interpretationbeam/150d3ab0-4c59-4efc-b47d-5284bb249422
higher-values-indicate-better-defined-clusters
usedBybeam/150d3ab0-4c59-4efc-b47d-5284bb249422
ex:evaluation-function
measureslme/bd86cc29-1147-4f3d-8b41-4b33d4583522
ex:cohesion-and-separation
2023-05-28
measureslme/7a50043d-3181-4d6e-af3d-4c87dc808ac1
ex:cohesion-vs-separation

References (3)

3 references
  1. ctx:claims/beam/150d3ab0-4c59-4efc-b47d-5284bb249422
    • full textbeam-chunk
      text/plain1 KBdoc:beam/150d3ab0-4c59-4efc-b47d-5284bb249422
      Show excerpt
      [Turn 503] Assistant: To determine which clustering algorithm performed the best based on the silhouette score, you would need to run the provided code and compare the silhouette scores for each algorithm. The silhouette score ranges from -
  2. ctx:claims/lme/bd86cc29-1147-4f3d-8b41-4b33d4583522
    • full textbeam-chunk
      text/plain18 KBdoc:beam/bd86cc29-1147-4f3d-8b41-4b33d4583522
      Show excerpt
      [Session date: 2023/05/28 (Sun) 17:25] User: I'm working on a project that involves analyzing customer data to identify trends and patterns. I was thinking of using clustering analysis, but I'm not sure which type of clustering method to us
  3. ctx:claims/lme/7a50043d-3181-4d6e-af3d-4c87dc808ac1
    • full textbeam-chunk
      text/plain18 KBdoc:beam/7a50043d-3181-4d6e-af3d-4c87dc808ac1
      Show excerpt
      [Session date: 2023/05/28 (Sun) 17:25] User: I'm working on a project that involves analyzing customer data to identify trends and patterns. I was thinking of using clustering analysis, but I'm not sure which type of clustering method to us

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