(a) How Validity & Gain metrics are used to compare clustering methods? For the given distance...

 

Transcribed Image Text:

(a) How Validity & Gain metrics are used to compare clustering methods? For the given distance matrix of 5 data points, use the Agglomerative Clustering algorithm with single linkage to draw the dendrogram and identify clusters considering threshold = 3.5. Now calculate the validity of this clustering. 1 2 3 4 volia 5 1 0 2 3 7 6 0 8 1 10 en 3 0 do 4 4 0 9 5 5 0 2+4 (a) How Validity & Gain metrics are used to compare clustering methods? For the given distance matrix of 5 data points, use the Agglomerative Clustering algorithm with single linkage to draw the dendrogram and identify clusters considering threshold = 3.5. Now calculate the validity of this clustering. 1 2 3 4 volia 5 1 0 2 3 7 6 0 8 1 10 en 3 0 do 4 4 0 9 5 5 0 2+4

Answer rating: 100% (QA)

Let me clarify a few points before addressing the main question about validity and gain metrics in clustering Distance Matrix for 5 Data Points Typically a distance matrix for 5 data points would be a ... View the full answer