minΣ(||xi-Xci||^2+ λ||ci||),
s.t cii = 0,
where X is a matrix of shape d * n and C is of the shape n * n, xi and ci means a column of X and C separately.
X is known here and based on X we want to find C.
minΣ(||xi-Xci||^2+ λ||ci||),
s.t cii = 0,
where X is a matrix of shape d * n and C is of the shape n * n, xi and ci means a column of X and C separately.
X is known here and based on X we want to find C.
Usually with a loss like that you need to vectorize it, instead of working with columns:
To implement the zero constraint on the diagonal of C, the best way is to add it to the loss with another constant
lambd2
: