why doesn't cluster analysis use a dummy variable why do dummy variables have the continuous adjacent category problem in cluster analysis? why don't dummy variables have the continuous adjacent category problem why do we use dummy variables why use dummy variables cluster analysis why do you need dummy in cluster analysis do you have to use dummy variable to test distances what is the difference when you use dummy variables in cluster analysis? if you use categorical variable, why doesn't dummy variables have the continuous adjacent category problem? why do dummy variables have the continuous adjacent category problem? why use dummy variables in cluster analysis why don't cluster analysis uses dummy variables why don't you use dummy variables in cluster analysis why don't cluster dummies have the continuous adjacent category problem why is it called continuous adjacent to variable why don't dummy variables have the continuous adjacent category problem in cluster analysis? what is the difference between dummy and categorical variables what type of variables can be used for cluster analysis why don't cluster variables have the constant adjacent which variable is used to find the distance between two adjacent categories in a cluster analysis?