Which of the following is incorrect about k-Means Clustering?(a) k-means clustering produces a dendrogram(b) It classifies data through a single step partition(c) It is a divisive approach(d) In this method, data are partitioned into k-clusters, which are prespecified at the outsetThe question was asked during an online interview.I want to ask this question from Microarray-Based Approaches in division Functional Genomics & Proteomics of Bioinformatics

Which of the following is incorrect about k-Means Clustering?(a) k-mea

1.	Which of the following is incorrect about k-Means Clustering?(a) k-means clustering produces a dendrogram(b) It classifies data through a single step partition(c) It is a divisive approach(d) In this method, data are partitioned into k-clusters, which are prespecified at the outsetThe question was asked during an online interview.I want to ask this question from Microarray-Based Approaches in division Functional Genomics & Proteomics of Bioinformatics
Answer» Right CHOICE is (a) k-means clustering produces a dendrogram Easiest explanation: In contrast to hierarchical clustering algorithms, k-means clustering does not PRODUCE a dendrogram, but instead classifies DATA through a single STEP partition. The value of k is normally randomly set but can be adjusted if RESULTS are found to be unsatisfactory.

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