R save kmeans algorithm into a file





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I created a clustering algorithm in R using the kmeans() function. I am using this algorithm along with the cl_predict() function in the clue package to label data with the predicted groups.



I want to upload my functions that include creating the cluster labels to GitHub to create a package I can share. However, I don't know how to save the clustering algorithm. I don't want to this algorithm to continually update, just to save this exact algorithm. What would be the best way to save the algorithm as a file and then reload it into R to use again?










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    Save the script as an .R file and save the fitted model as an .RData file using save()?

    – 12b345b6b78
    Nov 27 '18 at 1:27


















0















I created a clustering algorithm in R using the kmeans() function. I am using this algorithm along with the cl_predict() function in the clue package to label data with the predicted groups.



I want to upload my functions that include creating the cluster labels to GitHub to create a package I can share. However, I don't know how to save the clustering algorithm. I don't want to this algorithm to continually update, just to save this exact algorithm. What would be the best way to save the algorithm as a file and then reload it into R to use again?










share|improve this question


















  • 1





    Save the script as an .R file and save the fitted model as an .RData file using save()?

    – 12b345b6b78
    Nov 27 '18 at 1:27














0












0








0








I created a clustering algorithm in R using the kmeans() function. I am using this algorithm along with the cl_predict() function in the clue package to label data with the predicted groups.



I want to upload my functions that include creating the cluster labels to GitHub to create a package I can share. However, I don't know how to save the clustering algorithm. I don't want to this algorithm to continually update, just to save this exact algorithm. What would be the best way to save the algorithm as a file and then reload it into R to use again?










share|improve this question














I created a clustering algorithm in R using the kmeans() function. I am using this algorithm along with the cl_predict() function in the clue package to label data with the predicted groups.



I want to upload my functions that include creating the cluster labels to GitHub to create a package I can share. However, I don't know how to save the clustering algorithm. I don't want to this algorithm to continually update, just to save this exact algorithm. What would be the best way to save the algorithm as a file and then reload it into R to use again?







r k-means






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share|improve this question











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asked Nov 27 '18 at 1:26









tcal13tcal13

1




1








  • 1





    Save the script as an .R file and save the fitted model as an .RData file using save()?

    – 12b345b6b78
    Nov 27 '18 at 1:27














  • 1





    Save the script as an .R file and save the fitted model as an .RData file using save()?

    – 12b345b6b78
    Nov 27 '18 at 1:27








1




1





Save the script as an .R file and save the fitted model as an .RData file using save()?

– 12b345b6b78
Nov 27 '18 at 1:27





Save the script as an .R file and save the fitted model as an .RData file using save()?

– 12b345b6b78
Nov 27 '18 at 1:27












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