ELKI Kmeans clustering Task failed error for high dimensional data

Question

I have a 60000 documents which i processed in gensim and got a 60000*300 matrix. I exported this as a csv file. When i import this in ELKI

Answer 1

This sounds strange, but i found the solution to this issue by opening the exported CSV file and doing Save As and saving again as a CSV file. While size of the original file is 437MB, the second file is 163MB. I used the numpy function np.savetxt for saving the doc2vec vector. So it seems to be a Python issue instead of being ELKI issue.

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Edit: Above solution is not useful. I instead exported the doc2vec output which was created using gensim library and while exporting format of the values were decided explicitly as %1.22e. i.e. the values exported are in exponential format and values have length of 22. Below is the entire line of code.

textVect = model.docvecs.doctag_syn0
np.savetxt('D:\Backup\expo22.csv',textVect,delimiter=',',fmt=('%1.22e'))

CSV file thus created runs without any issue in ELKI environment.