I use kmeans for clustering a set of data. However, I have to specify the number of clusters. The problem is that sometimes I need 2 and other times I need 3 clusters.
- Is there a clustering algorithm that could incorporate that feature in it?
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I use kmeans for clustering a set of data. However, I have to specify the number of clusters. The problem is that sometimes I need 2 and other times I need 3 clusters.
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Simplest solution: do both and then check which gives best results... |
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this is a great paper to start with: Estimating the number of clusters in a data set via the gap statistics It's really easy to implement something similary in any language. |
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