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sm._bmu, is an numpy array of shape : (2,no.of rows in input data)
[1st row:index values, 2nd row:bmu values, columns=no of rows in the given input data].
sm.bmu_ind_to_xy() => this function takes bmu indices as arguments and returns the (x,y) co-ordinates in the map and the index value.
if bmu_xy=sm.bmu_ind_to_xy(sm._bmu[0]), then bmu_xy has the shape of (no.of rows in input data,3)
[no of rows in data=no of rows in bmu_xy, column=x co-ordinate, y co-ordinate, index value of the corresponding data]
The text was updated successfully, but these errors were encountered:
sm._bmu, is an numpy array of shape : (2,no.of rows in input data)
[1st row:index values, 2nd row:bmu values, columns=no of rows in the given input data].
sm.bmu_ind_to_xy() => this function takes bmu indices as arguments and returns the (x,y) co-ordinates in the map and the index value.
if bmu_xy=sm.bmu_ind_to_xy(sm._bmu[0]), then bmu_xy has the shape of (no.of rows in input data,3)
[no of rows in data=no of rows in bmu_xy, column=x co-ordinate, y co-ordinate, index value of the corresponding data]
The text was updated successfully, but these errors were encountered: