Consider the dataset given below, design the steps involved in clustering gender based on the similarity using necessary SKlearn libraries.

$\backslash$table$[[\backslash$table$[[$Customer$],[$ID$]],$Gender,$\backslash$table$[[$Ag$]],\backslash$table$[[$Annual Income$],[($k$$)]],\backslash$table$[[$Spending Score $(1-],[100)]]],[1,$Male,$19,15,39],[2,$Male,$21,15,5],[3,$Female,$20,16,6],[4,$Female,$23,16,77],[5,$Female,$31,17,40],[6,$Female,$22,17,76]]$