I have a dataset with around 7000 observations and 18 variables. Only age variable is continuous. Categorical variables have huge class imbalance. I want to analyze the data using unsupervised learning. any suggestions? i find it harder to do it without any help form the expert. Class imbalance is due to rare cases. I tried K means clustering, but there weren’t any clear clusters. I also tried t-SNE and couldn’t produce any inferences