I disagree... there are more ways you can use this matrix to creatively extract information out of it.
For instance, you can normalize along the columns, and build a "recommender system" using matrix factorization.
With that, when a new person comes with a portfolio, the system will output a probability for this new person to acquire the other assets he doesn't have.
It's (the very basic) idea of how Netflix recommends movies.
For instance, you can normalize along the columns, and build a "recommender system" using matrix factorization.
With that, when a new person comes with a portfolio, the system will output a probability for this new person to acquire the other assets he doesn't have.
It's (the very basic) idea of how Netflix recommends movies.