Can i do SOM for multiple variables? about minisom

[JustGlowing]

hi @jiwon-j, SOM is a multivariate model and you can build your input as a matrix where each row corresponds to a year and contains values from all the variables that you have.

These numpy functions can help you reshape your original data:

• https://numpy.org/doc/stable/reference/generated/numpy.concatenate.html
• https://numpy.org/doc/stable/reference/generated/numpy.reshape.html

[jiwon-j]

hi @jiwon-j, SOM is a multivariate model and you can build your input as a matrix where each row corresponds to a year and contains values from all the variables that you have.

These numpy functions can help you reshape your original data:

• https://numpy.org/doc/stable/reference/generated/numpy.concatenate.html
• https://numpy.org/doc/stable/reference/generated/numpy.reshape.html

thank you! i made a combined array, but do the two variables in here have to have the same shape?
Trying to run a SOM and getting broadcast issues

[JustGlowing]

the input matrix needs to have only 2 dimensions, which means that you have to concatenate your data on the appropriate axis.

[vwgeiser]

@jiwon-j I ran into a similar problem and flattening (vectorizing) the input data into a 1D vector is how I got mine to work. Then making your input_len the length of one sample. You can see the later parts of #187 where show how I do this.
Unless you've found a way around it I would imagine that inputs need to be the same length (minisom requires a square matrix). Imputation may help with this?

Adds quite a bit of dimensionality but MiniSOM is able to handle this sort of data at the cost of dimensionality.