Question: You are given a data set with 1 0 0 records and are asked to cluster the data. You use K - means to cluster

You are given a data set with 100 records and are asked to cluster the data. You use K-means to cluster the data, but for all values of K,1K100, the K-means algorithm returns only one non-empty cluster. You then apply an incremental version of K-means, but obtain exactly the same result. How is this possible? How would single link or DBSCAN handle such data?
You are given a data set with 100 records and are

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