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I've encountered an unexpected behavior in the clustering of my text corpus. The corpus contains the following texts:
text1
text2
text3
Based on the distance metric used, it is observed that dist(text1, text2) < dist(text1, text3). However, the clustering algorithm has grouped text1 with text3 and identified text2 as an isolated point. This result is contrary to my expectations.
Parameters Used:
min_cluster_size = 2
min_samples = 2
distance: Euclidean distance
The text was updated successfully, but these errors were encountered:
I've encountered an unexpected behavior in the clustering of my text corpus. The corpus contains the following texts:
text1
text2
text3
Based on the distance metric used, it is observed that
dist(text1, text2) < dist(text1, text3)
. However, the clustering algorithm has groupedtext1
withtext3
and identifiedtext2
as an isolated point. This result is contrary to my expectations.Parameters Used:
min_cluster_size = 2
min_samples = 2
distance: Euclidean distance
The text was updated successfully, but these errors were encountered: