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Any plan to support parallel computation for cluster points? #11
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Computing density peak point costs too much time for big datasets. |
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Answered by
freesinger
Jul 6, 2022
Replies: 1 comment
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hi @timberUp，thanks for your interesting density_peak_clustering/data_process.py Line 61 in d3ee8b9 You may check this line and change the 3rd parameter to a integer value [1, 100). Smaller the parameter, less the time elapsed. Also, the precision would be reduced.No parallel computation plan for this since this repo has been half-archived for now. You could devesigate parallism mechanism in Python. Hope it will help~ |
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timberUp
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hi @timberUp，thanks for your interesting
density_peak_clustering/data_process.py
Line 61 in d3ee8b9
You may check this line and change the 3rd parameter to a integer value
[1, 100). Smaller the parameter, less the time elapsed. Also, the precision would be reduced.No parallel computation plan for this since this repo has been half-archived for now. You could devesigate parallism mechanism in Python.
Hope it will help~