How to make Cosine Distance classification

Hello.

I have 90 dataset (10 label x 9 data).

I want to classfy the dataset using Cosine Distance.

How can use the below code to classify ?

https://www.mathworks.com/matlabcentral/fileexchange/62978-getcosinesimilarity-x-y

function Cs = getCosineSimilarity(x,y)
% 
% call:
% 
%      Cs = getCosineSimilarity(x,y)
%      
% Compute Cosine Similarity between vectors x and y.
% x and y have to be of same length. The interpretation of 
% cosine similarity is analogous to that of a Pearson Correlation
% 
% R.G. Bettinardi
% -----------------------------------------------------------------
if isvector(x)==0 || isvector(y)==0
    error('x and y have to be vectors!')
end
if length(x)~=length(y)
    error('x and y have to be same length!')
end
xy   = dot(x,y);
nx   = norm(x);
ny   = norm(y);
nxny = nx*ny;
Cs   = xy/nxny;

[Abbas Cheddad]

Cs = xy/nxny;

Should be written as:

Cs = 1 - xy/nx/ny;

This will give you the cosine distance.

Answer 1

[Raunak Gupta]

Hi,

I think the answer to the above question is provided in a similar question here. You may find it useful.