Row 80522

Row ID: 80522 | Dataset Entry | Axioma AXP Content Repository

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Within clusters sum of squares (WCSS) is great for the elbow method, but also look at a silhouette score: [https://en.wikipedia.org/wiki/Silhouette\_(clustering)](https://en.wikipedia.org/wiki/Silhouette_(clustering))

They often are very close, but to be robust you can use the one to sense-check the other.

FieldValue
text Within clusters sum of squares (WCSS) is great for the elbow method, but also look at a silhouette score: [https://en.wikipedia.org/wiki/Silhouette\_(clustering)](https://en.wikipedia.org/wiki/Silhouette_(clustering)) They often are very close, but to be robust you can use the one to sense-check the other.
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-24
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Raw Record

{
  "text": "Within clusters sum of squares (WCSS) is great for the elbow method, but also look at a silhouette score: [https://en.wikipedia.org/wiki/Silhouette\\_(clustering)](https://en.wikipedia.org/wiki/Silhouette_(clustering))\n\nThey often are very close, but to be robust you can use the one to sense-check the other.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-24",
  "username_encoded": "Z0FBQUFBQm5Lak1sOXZOdnFjcDEzb0tncnNOZ3JUeW1MeHpsRjBWcWRFT3pNcmxLY2JQSUF4RWtUVmtER0VXeWtPYndwZU9HODd4VE96UHJHY2ZxZ1Rwa3FmZ2gzNjRxS0E9PQ==",
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}
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