Which columns are used in kmeans algorithm in R, as there are no arguments for designating columns?












0















Says, a dataframe df_1 has 8 columns, and following code is used.



res = kmeans(df_1, 4, nstart=40)


The K-means clustering result is stored in res.



In most examples, two dimensions (i.e. two columns) are used to demonstrate the clustering.



However, in the above code, df_1 has 8 dimensions.



How do I know, which columns were used?










share|improve this question























  • have u checked the cheat sheet ?

    – sai saran
    Nov 16 '18 at 7:36











  • @sai sara, I did not check any sheet. I just did some research online and no example showed the criteria of the input data.frame.

    – Justin
    Nov 16 '18 at 7:54













  • ?kmeans can u try this one

    – sai saran
    Nov 16 '18 at 8:29






  • 1





    Description Perform k-means clustering on a data matrix. Usage kmeans(x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace=FALSE) ## S3 method for class 'kmeans' fitted(object, method = c("centers", "classes"), ...)

    – sai saran
    Nov 16 '18 at 8:30






  • 1





    They will all be used. If you want to use only certain columns then limit the columns in the data frame that you pass to the kmeans function

    – Cleland
    Nov 16 '18 at 9:32
















0















Says, a dataframe df_1 has 8 columns, and following code is used.



res = kmeans(df_1, 4, nstart=40)


The K-means clustering result is stored in res.



In most examples, two dimensions (i.e. two columns) are used to demonstrate the clustering.



However, in the above code, df_1 has 8 dimensions.



How do I know, which columns were used?










share|improve this question























  • have u checked the cheat sheet ?

    – sai saran
    Nov 16 '18 at 7:36











  • @sai sara, I did not check any sheet. I just did some research online and no example showed the criteria of the input data.frame.

    – Justin
    Nov 16 '18 at 7:54













  • ?kmeans can u try this one

    – sai saran
    Nov 16 '18 at 8:29






  • 1





    Description Perform k-means clustering on a data matrix. Usage kmeans(x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace=FALSE) ## S3 method for class 'kmeans' fitted(object, method = c("centers", "classes"), ...)

    – sai saran
    Nov 16 '18 at 8:30






  • 1





    They will all be used. If you want to use only certain columns then limit the columns in the data frame that you pass to the kmeans function

    – Cleland
    Nov 16 '18 at 9:32














0












0








0








Says, a dataframe df_1 has 8 columns, and following code is used.



res = kmeans(df_1, 4, nstart=40)


The K-means clustering result is stored in res.



In most examples, two dimensions (i.e. two columns) are used to demonstrate the clustering.



However, in the above code, df_1 has 8 dimensions.



How do I know, which columns were used?










share|improve this question














Says, a dataframe df_1 has 8 columns, and following code is used.



res = kmeans(df_1, 4, nstart=40)


The K-means clustering result is stored in res.



In most examples, two dimensions (i.e. two columns) are used to demonstrate the clustering.



However, in the above code, df_1 has 8 dimensions.



How do I know, which columns were used?







r k-means rxkmeans






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 16 '18 at 7:34









Justin Justin

666




666













  • have u checked the cheat sheet ?

    – sai saran
    Nov 16 '18 at 7:36











  • @sai sara, I did not check any sheet. I just did some research online and no example showed the criteria of the input data.frame.

    – Justin
    Nov 16 '18 at 7:54













  • ?kmeans can u try this one

    – sai saran
    Nov 16 '18 at 8:29






  • 1





    Description Perform k-means clustering on a data matrix. Usage kmeans(x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace=FALSE) ## S3 method for class 'kmeans' fitted(object, method = c("centers", "classes"), ...)

    – sai saran
    Nov 16 '18 at 8:30






  • 1





    They will all be used. If you want to use only certain columns then limit the columns in the data frame that you pass to the kmeans function

    – Cleland
    Nov 16 '18 at 9:32



















  • have u checked the cheat sheet ?

    – sai saran
    Nov 16 '18 at 7:36











  • @sai sara, I did not check any sheet. I just did some research online and no example showed the criteria of the input data.frame.

    – Justin
    Nov 16 '18 at 7:54













  • ?kmeans can u try this one

    – sai saran
    Nov 16 '18 at 8:29






  • 1





    Description Perform k-means clustering on a data matrix. Usage kmeans(x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace=FALSE) ## S3 method for class 'kmeans' fitted(object, method = c("centers", "classes"), ...)

    – sai saran
    Nov 16 '18 at 8:30






  • 1





    They will all be used. If you want to use only certain columns then limit the columns in the data frame that you pass to the kmeans function

    – Cleland
    Nov 16 '18 at 9:32

















have u checked the cheat sheet ?

– sai saran
Nov 16 '18 at 7:36





have u checked the cheat sheet ?

– sai saran
Nov 16 '18 at 7:36













@sai sara, I did not check any sheet. I just did some research online and no example showed the criteria of the input data.frame.

– Justin
Nov 16 '18 at 7:54







@sai sara, I did not check any sheet. I just did some research online and no example showed the criteria of the input data.frame.

– Justin
Nov 16 '18 at 7:54















?kmeans can u try this one

– sai saran
Nov 16 '18 at 8:29





?kmeans can u try this one

– sai saran
Nov 16 '18 at 8:29




1




1





Description Perform k-means clustering on a data matrix. Usage kmeans(x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace=FALSE) ## S3 method for class 'kmeans' fitted(object, method = c("centers", "classes"), ...)

– sai saran
Nov 16 '18 at 8:30





Description Perform k-means clustering on a data matrix. Usage kmeans(x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"), trace=FALSE) ## S3 method for class 'kmeans' fitted(object, method = c("centers", "classes"), ...)

– sai saran
Nov 16 '18 at 8:30




1




1





They will all be used. If you want to use only certain columns then limit the columns in the data frame that you pass to the kmeans function

– Cleland
Nov 16 '18 at 9:32





They will all be used. If you want to use only certain columns then limit the columns in the data frame that you pass to the kmeans function

– Cleland
Nov 16 '18 at 9:32












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