Different clustering algorithms behave different on the same
dataset. Single Link
and Complete Link are two agglomerative clustering
algorithms.
Find a data file D such that these two algorithms behave
differently on D, and
display their behavior. (A set of 6 to 10 points probably works
well.)
In both clustering algorithm, in each iteration we merge two clusters having minimum distance. The difference is how we compute distance between two clusters.
In single linkage, distance between two clusters is the minimum of the pairwise distances between each points of two clusters. i.e. distance between closest elements in clusters.
In complete linkage, distance between two clusters is the distance between farthest elements of clusters. i.e. maximum of pairwise distances.
The following example demonstrates the difference:
please provide positive feedback if it helped.
Different clustering algorithms behave different on the same dataset. Single Link and Complete Link are two...
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