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Sep 6, 2017 at 16:01 comment added user78229 Yeah. It sounds like your underlying assumptions are information theoretic. One possible metric can be found in Marina Meila, Comparing Clusterings, University of Washington Statistics Technical Report 418 and COLT 03 paper...ungated copy here ... stat.washington.edu/mmp/Papers/compare-colt.pdf. Another approach could be Andreas Brandmaier's complexity-based permutation distribution clustering for time series. He has several ungated papers out there and an R module, e.g., here ... jstatsoft.org/article/view/v067i05/v067i05.pdf
Sep 6, 2017 at 13:48 history edited victor_v CC BY-SA 3.0
Inserted missing code
Sep 6, 2017 at 13:45 comment added victor_v @DJohnson You're correct, I was a little vague. I refer to homogeneity of a cluster as the number and quantitiy of different elements in a cluster relative to the number and quantity of elements in the base distribution. Some other metrics I can think of would be e.g. shannon's entropy. The random draws are indeed bootstrapped (I included replace=T in the code). 1,000 random draws were based on this publication pnas.org/content/102/43/15545.full. 5 clusters and 1 predictor was an arbitrary choice. Measuring diffusion is an interesting idea! Can you recommend a good reference?
Sep 6, 2017 at 13:34 vote accept victor_v
Aug 25, 2017 at 13:23 answer added user77876 timeline score: 2
Aug 25, 2017 at 13:12 comment added user78229 The description of the theoretical process being used to create these 1,000 randomly chosen clusters is unclear. You should define "homogeneity" more explicitly and benchmark results against standard metrics. Are the draws of 20 elements from the same population or data, i.e., are these bootstrapped draws? Why only 1,000 draws? Why not 1,000,000? Why is there only 1 predictor? Are five clusters always the result? Why five? A little more information would help. That said, if the elements in the clusters can be identified or tagged, why not track their diffusion in assignment across the draws?
Aug 25, 2017 at 12:52 comment added victor_v @user77876 Yes, homogeneity is what I meant to write in the closing paragraph. I edited the wording accordingly.
Aug 25, 2017 at 12:51 history edited victor_v CC BY-SA 3.0
Changed wording
Aug 25, 2017 at 10:58 comment added user77876 Are you trying to use z-score to describe homogeneity or uniqueness? You use different words in the title and in your closing paragraph.
Aug 18, 2017 at 13:09 history asked victor_v CC BY-SA 3.0