Should I use the modified Z-score formulation to normalize my data





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Usually, min max normalization or z-score normalization is used for machine learning. However, they are not robust to outliers. And I did not remove "outliers" in my data because the data is very high dimensional and in the multivariate case, it may not be outliers.



So I was wondering if I can use the modified Z-score method to normalize my data as follows:



enter image description here



enter image description here



If I can't why, why not? Thanks in advance.






machine-learning statistics normalization







share|improve this question























  • Not a programming question, better suited for Cross Validated.

    – desertnaut
    Nov 25 '18 at 9:29


















1















Usually, min max normalization or z-score normalization is used for machine learning. However, they are not robust to outliers. And I did not remove "outliers" in my data because the data is very high dimensional and in the multivariate case, it may not be outliers.



So I was wondering if I can use the modified Z-score method to normalize my data as follows:



enter image description here



enter image description here



If I can't why, why not? Thanks in advance.






machine-learning statistics normalization







share|improve this question























  • Not a programming question, better suited for Cross Validated.

    – desertnaut
    Nov 25 '18 at 9:29














1












1








1


1






Usually, min max normalization or z-score normalization is used for machine learning. However, they are not robust to outliers. And I did not remove "outliers" in my data because the data is very high dimensional and in the multivariate case, it may not be outliers.



So I was wondering if I can use the modified Z-score method to normalize my data as follows:



enter image description here



enter image description here



If I can't why, why not? Thanks in advance.






machine-learning statistics normalization







share|improve this question














Usually, min max normalization or z-score normalization is used for machine learning. However, they are not robust to outliers. And I did not remove "outliers" in my data because the data is very high dimensional and in the multivariate case, it may not be outliers.



So I was wondering if I can use the modified Z-score method to normalize my data as follows:



enter image description here



enter image description here



If I can't why, why not? Thanks in advance.






machine-learning statistics normalization




machine-learning statistics normalization






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 25 '18 at 5:26









Rui NianRui Nian

619413




619413













  • Not a programming question, better suited for Cross Validated.

    – desertnaut
    Nov 25 '18 at 9:29



















  • Not a programming question, better suited for Cross Validated.

    – desertnaut
    Nov 25 '18 at 9:29

















Not a programming question, better suited for Cross Validated.

– desertnaut
Nov 25 '18 at 9:29





Not a programming question, better suited for Cross Validated.

– desertnaut
Nov 25 '18 at 9:29












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