algorithm - What is the difference between clustering and matching? -


what difference between clustering , matching?

for example: there's pool of 4 elements , in 1 scenario want generate pairs. measure distance of each element each other yields 2x2 matrix. matching algorithm finds 2 pairings lowest or highest weighted sum.

what clustering algorithm doing? when demand cluster number of 2 result same, or not?

specifying number of elements in cluster (pairs example) doesn't make sense. if have been looking @ k-means (k-medoids), k indicates how many clusters created in total. so, if have 4 elements , use k = 2, can 1 cluster 1 element , cluster 3 elements, depending on data have. anyway, clustering on 4 elements doesn't make sense.


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