What is the Value of X in KNN and Why? [duplicate]

Question

This question already has an answer here:

• logic behind weighted KNN 1 answer

I have a dataset of 25 instances these instances are divided into 2 classes Green Circles and Blue Squares

data distributed as this graph

I want to predict X's class based on "Likelihood Weighted KNN with k =3"

In normal KNN this is easy

the nearest 3 points are 2 Blue Squares and 1 Green Circle

which means X will be Blue Square

there are more Blue Squares neighbours than Green Circles (2 vs 1)

But What is needed is to find the Likelihood Weighted KNN with k =3

This is my try

In this case we have to calculate the weight (Likelihood) for each instance

Each Green Circle likelihood is $\frac{1}{5} $ , we have 5 Green Circles

While for Blue Squares it is $\frac{1}{20} $ , we have 20 Blue Squares

Therefore the weights around X will be $\frac{1}{5} $ Green Circle, and $\frac{2}{20} $ Blue Squares.

which means $\frac{1}{5} > \frac{2}{20} $

Then X is Green Circle

Well, this is wrong :(

Can someone help me find the