I would like to ask a question about Gower dissimilarity, I was wondering how Gower measure handle missing values in numeric columns, especially that Gower standardized each column based on the range of the same attribute ?
I have read both details of functions daisy and gower.dist in R and their original source (chapter 1 of Kaufman and Rousseeuw (1990)) but I got confuse. http://www.inside-r.org/packages/cran/StatMatch/docs/gower.dist https://stat.ethz.ch/R-manual/R-devel/library/cluster/html/daisy.html
I tried also to look at similar discussions in this website Gower distance and MDS: How to determine which variables count? but I did not find an answer.
also imputing the data with a dummy/mean values are not an option for me, I need my data as it is. my data is students' exams marks.