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1

As you mentioned in the comments about a possible problem of using mean, median type of imputations naively could lead to wrong predictions. In such cases, you need to first check whether you have enough data. If you have enough data You can try using MICE (Multivariate Imputation By Chained Equations) algorithm on your missing data. The method is based ...


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One problem with clustering algorithms is that they will typically find you a solution, ie they will split your data set into clusters, but it will find you a structure even if there isn't one. Your data looks like it could consist of about 5 to 7 clusters, but it could equally well just be 2 or only 1. What you need to do after the clustering is to assess ...


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