Use whitespace and carriage returns to reformat your data. It’s not clear what you are doing. Also, put it into a Pandas dataframe and make a few plots. The Visualization page is very helpful, along with the Seaborn examples.
____________________________________________________________________ Dale T. Smith | Macy's Systems and Technology | IFS eCom CSE Data Science 5985 State Bridge Road, Johns Creek, GA 30097 | [email protected] From: scikit-learn [mailto:[email protected]] On Behalf Of Rohan Koodli Sent: Monday, February 27, 2017 10:43 PM To: [email protected] Subject: [scikit-learn] Clustering 4 dimensional data ⚠ EXT MSG: I'm having trouble understanding how to cluster multidimensional data. Specifically, a 4 dimensional array. test = [[[[3,10],[1,5],[3,18]],[[3,1],[0,0],[0,0]],[[3,3],[1,5],[0,0]]],[[[1,5],[2,7],[0,0]],[[1,7],[0,0],[0,0]],[[0,0],[0,0],[0,0]]]] from sklearn import mixture gmm = mixture.GMM() gmm.fit(test) The code returns the following error: "Found array with dim 4. GMM expected <= 2." Do I need to change the way my data is formatted? Is there a way of doing clustering on 4 dimensional data? * This is an EXTERNAL EMAIL. Stop and think before clicking a link or opening attachments.
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