machine-learningcluster-analysisdata-mininghierarchical-clustering
Agglomerative hierarchical clustering technique
Earlier in the year, my AI lecturer taught us about agglomerative hierarchical clustering and K means clustering but his explanations are lost and i'm trying to figure out how he uses the data in the table below to create a dendogram. It would be great.
He comes up with the following table that outlines the similarities:
Animal pairs Similarities
Bear & Tiger 4
Bear & Dog 3
Bear & Giant Squid 2
Bear & Cat 3
Tiger & Dog 2
Tiger & Giant Squid 1
Tiger & Cat 2
Dog & Giant Squid 2
Dog & Cat 5
Giant Squid & Cat 2
And the resulting dendogram from the table above:
Solution
Always connect the most similar ones.
Dog and Cat are most similar, and are thus connected at level 5.
Bear and Tiger are connected at level 4.
etc.
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