I am preparing a dataset for KMean clusters. But a series of data appears to be
My question is:
Can I perform KMeans on a bimodal data? If not, what kind of transformation can I perform to make the distribution more symmetrical?
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There are no restrictions to MacQueen's classic $K$-means clustering algorithm that require the data to be unimodal. So long as you can provide an initial partition of the items into K clusters (with bimodal data, perhaps $K=2$ initially?), and can calculate the distance between each observation and the centroid for each cluster at each step, you should be able to proceed without any problems.