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Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]

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Different types of variable scales in a cluster analysis ( nearest neighbours and k-means)

I've to conduct a cluster analysis (nearest neighbours and k-means) with different types of variables (metric, nominal and binary). Which transformation is appropriate for conducting a cluster analysi …
Phil Werner's user avatar
0 votes
2 answers
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Difference of nearest-neighbour clustering and K-nearest neighbor clustering [duplicate]

we're two students working on a seminar paper (topic: Marketing in the Age of Big Data) where we have to conduct a cluster analysis by using nearest neighbour clustering. unfortunately, we cannot differentiate … between nearest neighbour clustering and K-nearest neighbours. …
Phil Werner's user avatar