- the value is equal to the maximum
- the value is 1 less than the maximum
Assign a set of weights to digits
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Good afternoon, everyone. Unfortunately, from time to time I block.
Here's the thing.
I have a set of digits where I have calculated how often each one appears.
Example,
Digit 1, appears 4x, digits 2 and 3 appear 1x, digit 4 appears 2x, and digits 5,6,7,8,9 appear 0 times. This in a matrix of values defined by 554 rows and 9 columns.
What I wanted was to assign a weight to each frequency for each row.
Example, the higher the frequency the lower the weight. In the example I gave, digit 1 would have a weight of 1, digits 2 and 3 would have a weight of 3, digit 4 would have a weight of 2, and the remaining digits would have a weight of 4. This for each row.
Can anyone help me? In the previous question I didn't answer earlier because I was sick.
1 2 3 4 5 6 7 8 9 - - - - - - -> this is the digits
4 1 1 2 0 0 0 0 0
3 1 1 2 0 0 1 0 0
1 5 1 0 0 1 0 0 0
5 3 0 0 0 0 0 0 0
3 2 1 0 0 0 0 1 1
3 2 1 1 0 0 0 1 0
3 2 0 1 0 0 1 1 0
4 2 0 0 0 1 0 1 0
2 3 1 0 2 0 0 0 0
2 1 2 1 1 0 0 1 0
2 2 1 0 1 1 0 0 1
2 4 0 0 1 0 0 1 0
3 2 1 1 0 0 1 0 0
4 1 1 0 0 0 1 1 0
4 2 1 0 0 1 0 0 0
5 0 2 0 0 0 1 0 0
2 2 2 0 1 0 1 0 0
3 4 0 0 0 0 1 0 0
2 4 0 0 0 0 0 2 0
5 0 2 0 0 0 1 0 0
5 2 1 0 0 0 0 0 0
4 1 1 1 0 0 1 0 0
3 2 1 0 0 1 0 0 1
5 0 2 0 0 0 1 0 0
2 3 2 0 0 0 0 1 0
4 2 0 0 0 0 1 1 0
2 0 4 1 0 0 0 1 0
3 3 0 0 0 0 1 1 0
5 0 2 0 0 0 1 0 0
4 1 2 0 0 0 0 0 1
5 2 0 0 0 0 1 0 0
5 0 2 0 0 0 1 0 0
5 2 1 0 0 0 0 0 0
4 2 1 0 0 0 1 0 0
5 0 2 0 0 0 1 0 0
3 3 1 1 0 0 0 0 0
4 0 3 0 0 0 1 0 0
3 3 0 1 1 0 0 0 0
5 1 1 1 0 0 0 0 0
4 2 1 0 0 0 1 0 0
5 1 1 0 0 0 0 1 0
3 1 1 1 1 0 0 0 1
3 4 0 0 0 0 1 0 0
3 2 2 0 0 0 1 0 0
4 3 0 0 0 0 1 0 0
4 2 1 0 0 0 1 0 0
4 1 1 2 0 0 0 0 0
3 1 2 0 0 0 0 2 0
2 5 0 0 0 0 0 1 0
3 3 1 0 0 0 1 0 0
3 4 0 0 0 0 1 0 0
4 2 1 0 0 0 1 0 0
5 0 2 0 0 0 1 0 0
4 2 1 0 0 0 1 0 0
5 1 1 0 0 0 0 0 1
4 3 0 0 0 0 1 0 0
4 3 0 0 0 0 1 0 0
5 2 0 0 0 0 0 1 0
3 2 1 0 0 0 2 0 0
5 1 1 0 0 0 1 0 0
4 2 0 0 0 0 1 1 0
3 1 1 2 0 0 0 1 0
6 1 1 0 0 0 0 0 0
3 2 2 0 0 0 1 0 0
4 2 1 0 0 1 0 0 0
4 1 2 0 0 0 1 0 0
5 0 2 0 0 0 1 0 0
6 0 2 0 0 0 0 0 0
3 3 1 1 0 0 0 0 0
2 3 2 0 0 0 0 0 1
5 0 2 0 0 0 1 0 0
4 2 0 1 0 0 0 1 0
3 0 2 1 0 1 0 1 0
4 2 1 0 0 0 1 0 0
3 3 1 0 0 0 0 0 1
3 1 2 1 0 0 0 1 0
4 1 1 0 1 0 0 0 1
2 3 2 0 0 1 0 0 0
3 2 1 0 2 0 0 0 0
5 1 1 0 0 0 1 0 0
5 0 1 1 0 0 1 0 0
3 0 3 0 0 0 2 0 0
2 4 0 0 0 0 0 1 1
2 1 3 1 1 0 0 0 0
4 1 2 0 0 0 0 0 1
2 3 2 0 0 1 0 0 0
3 1 1 0 0 0 0 3 0
6 0 2 0 0 0 0 0 0
3 1 2 1 0 0 1 0 0
5 0 2 0 0 0 1 0 0
4 4 0 0 0 0 0 0 0
3 1 1 2 1 0 0 0 0
4 0 3 0 0 0 1 0 0
3 3 0 2 0 0 0 0 0
5 2 0 0 1 0 0 0 0
4 3 0 0 0 0 1 0 0
3 3 0 0 0 0 1 1 0
5 0 2 0 0 0 1 0 0
3 1 2 0 0 0 1 1 0
4 2 1 0 0 1 0 0 0
5 1 1 0 0 0 0 0 1
4 1 2 0 1 0 0 0 0
4 1 0 0 1 0 1 1 0
4 1 2 0 0 0 0 0 1
5 0 2 0 0 0 1 0 0
3 2 0 2 1 0 0 0 0
3 1 2 0 0 0 1 1 0
3 2 1 2 0 0 0 0 0
5 3 0 0 0 0 0 0 0
5 0 2 0 0 0 1 0 0
4 1 2 1 0 0 0 0 0
5 2 1 0 0 0 0 0 0
3 1 1 0 0 1 2 0 0
4 1 2 1 0 0 0 0 0
5 1 1 0 0 0 1 0 0
5 1 1 0 0 0 0 1 0
6 1 1 0 0 0 0 0 0
3 2 3 0 0 0 0 0 0
4 2 2 0 0 0 0 0 0
5 1 2 0 0 0 0 0 0
5 0 2 0 0 0 1 0 0
3 1 3 0 0 1 0 0 0
3 4 0 0 0 0 1 0 0
4 2 2 0 0 0 0 0 0
4 1 2 0 0 0 1 0 0
4 1 1 0 0 0 2 0 0
4 2 2 0 0 0 0 0 0
3 0 3 0 0 1 1 0 0
5 1 1 0 1 0 0 0 0
4 2 1 0 0 0 1 0 0
4 2 1 0 0 0 1 0 0
4 1 1 0 0 0 2 0 0
3 3 1 0 0 0 1 0 0
5 2 0 0 0 0 0 1 0
3 2 1 0 0 1 0 1 0
4 1 2 0 0 0 0 0 1
4 0 3 0 0 0 1 0 0
3 3 1 1 0 0 0 0 0
4 3 0 0 0 0 1 0 0
4 2 2 0 0 0 0 0 0
2 2 2 0 0 2 0 0 0
4 0 2 1 0 0 1 0 0
3 3 0 0 1 0 1 0 0
5 1 1 0 0 0 1 0 0
5 1 1 0 0 0 0 0 1
4 0 2 1 0 0 1 0 0
4 1 1 1 1 0 0 0 0
4 2 1 0 0 0 1 0 0
6 1 1 0 0 0 0 0 0
3 3 1 0 1 0 0 0 0
4 3 0 0 0 0 1 0 0
4 2 1 0 0 0 1 0 0
5 1 1 0 0 0 0 0 1
6 2 0 0 0 0 0 0 0
3 1 1 1 0 0 1 0 1
3 3 0 0 1 0 1 0 0
2 3 1 1 0 0 0 1 0
5 1 1 0 0 0 1 0 0
4 2 1 0 0 0 1 0 0
5 0 2 0 0 0 1 0 0
3 2 2 0 0 0 1 0 0
4 2 0 0 0 0 1 1 0
5 0 2 0 0 0 1 0 0
5 1 1 0 1 0 0 0 0
4 1 2 0 0 1 0 0 0
2 1 3 1 1 0 0 0 0
4 0 2 0 0 0 2 0 0
4 2 1 0 0 0 1 0 0
4 1 2 1 0 0 0 0 0
4 1 1 0 0 0 1 1 0
3 4 0 0 0 0 1 0 0
4 2 1 0 0 0 1 0 0
3 2 1 0 1 1 0 0 0
5 0 2 0 0 0 1 0 0
5 0 1 1 0 0 1 0 0
5 2 0 0 0 0 1 0 0
4 1 2 0 0 0 1 0 0
4 1 1 2 0 0 0 0 0
4 1 3 0 0 0 0 0 0
4 2 1 0 0 0 1 0 0
4 2 1 0 0 0 1 0 0
4 2 1 0 0 0 1 0 0
3 5 0 0 0 0 0 0 0
5 3 0 0 0 0 0 0 0
5 2 0 0 0 0 1 0 0
5 2 0 0 1 0 0 0 0
5 1 1 0 0 0 1 0 0
3 4 0 0 0 0 0 1 0
3 2 2 0 0 0 1 0 0
4 2 1 0 0 0 1 0 0
5 0 2 0 0 0 1 0 0
4 0 3 0 0 0 1 0 0
5 0 2 0 0 0 1 0 0
4 1 2 1 0 0 0 0 0
4 0 2 0 0 0 2 0 0
3 2 1 1 0 0 1 0 0
5 2 0 0 0 1 0 0 0
3 1 2 2 0 0 0 0 0
5 1 0 0 0 0 1 0 1
5 1 0 0 0 0 0 1 1
5 1 1 0 0 0 0 0 1
5 1 1 0 0 0 0 0 1
6 1 0 0 0 0 0 0 1
6 1 0 0 0 0 0 0 1
5 1 1 0 0 0 0 1 0
5 1 1 0 0 0 0 0 1
5 2 0 0 0 0 0 0 1
3 1 2 0 1 0 0 0 1
6 1 0 1 0 0 0 0 0
4 0 2 1 0 0 0 0 1
3 1 1 1 0 1 0 0 1
3 3 0 0 1 0 0 1 0
5 0 2 0 0 0 0 0 1
3 2 1 0 0 0 0 2 0
6 0 1 1 0 0 0 0 0
3 1 2 0 1 0 0 0 1
5 1 1 0 0 0 0 0 1
5 1 1 0 0 0 0 0 1
3 2 1 0 1 0 1 0 0
3 1 2 0 0 0 0 0 2
3 1 2 1 0 0 0 0 1
5 1 1 0 0 0 0 0 1
5 1 1 0 0 0 0 0 1
3 2 1 0 0 0 1 0 1
5 0 2 0 0 0 0 0 1
5 1 1 0 0 0 0 0 1
4 3 0 1 0 0 0 0 0
3 1 2 1 0 0 0 1 0
6 0 1 1 0 0 0 0 0
5 1 1 0 0 0 0 1 0
5 2 0 0 0 0 0 1 0
2 2 1 0 0 1 0 1 1
3 1 2 0 0 1 0 0 1
4 2 1 0 0 0 0 0 1
3 2 2 0 0 0 0 0 1
4 1 1 0 0 0 0 0 2
3 2 1 0 0 0 1 0 1
3 2 1 0 0 0 0 0 2
5 1 1 1 0 0 0 0 0
2 2 0 0 2 0 2 0 0
5 2 0 0 0 0 0 0 1
1 1 1 2 1 1 0 0 1
3 1 1 2 0 0 0 0 1
3 3 0 0 0 0 1 1 0
3 3 0 0 0 0 1 1 0
4 1 0 1 0 1 0 0 1
3 3 0 0 0 0 1 1 0
3 4 0 0 0 0 0 1 0
5 1 1 0 1 0 0 0 0
3 3 1 0 0 0 0 1 0
3 3 1 0 0 0 0 1 0
5 2 0 0 0 0 0 0 1
5 1 1 0 0 0 0 0 1
4 1 2 0 0 0 0 0 1
3 3 0 0 0 0 1 1 0
4 2 0 0 0 0 1 1 0
2 4 1 0 0 0 0 0 1
3 1 2 0 0 0 1 0 1
3 1 2 0 0 1 0 0 1
3 3 0 0 0 1 1 0 0
4 2 1 0 0 0 0 0 1
3 2 2 0 0 0 0 1 0
3 1 1 1 0 0 1 0 1
3 1 2 1 0 0 0 0 1
3 4 0 0 0 0 0 1 0
6 0 1 1 0 0 0 0 0
3 2 0 1 0 1 0 1 0
5 2 0 0 0 0 0 1 0
4 3 0 0 0 1 0 0 0
6 0 1 0 0 0 0 0 1
3 2 0 2 0 0 0 1 0
3 3 1 0 0 0 0 1 0
3 2 1 0 0 1 0 1 0
3 2 2 0 0 0 0 0 1
3 2 2 0 0 1 0 0 0
5 1 0 1 0 0 0 0 1
3 1 2 2 0 0 0 0 0
2 2 2 0 0 2 0 0 0
1 1 2 1 2 0 0 0 1
1 4 2 0 0 0 1 0 0
2 1 1 2 1 1 0 0 0
0 2 3 1 1 0 0 0 1
2 2 2 2 0 0 0 0 0
1 2 2 0 0 1 0 1 1
0 2 1 1 1 0 2 0 1
2 1 2 1 0 1 0 1 0
3 1 2 0 1 1 0 0 0
1 3 2 0 0 0 1 1 0
0 2 3 0 1 0 0 1 1
2 2 2 0 0 0 1 1 0
0 1 3 1 0 2 1 0 0
1 3 3 0 0 1 0 0 0
0 3 2 0 0 2 1 0 0
1 4 1 0 1 1 0 0 0
2 2 1 1 0 1 1 0 0
2 2 2 1 1 0 0 0 0
1 3 2 0 1 0 0 0 1
4 1 0 2 0 1 0 0 0
1 4 1 1 0 1 0 0 0
2 3 1 0 1 0 0 0 1
2 1 1 2 0 0 1 0 1
1 2 2 0 2 0 0 0 1
3 1 2 1 0 0 0 0 1
2 2 1 1 0 0 1 0 1
1 3 1 1 0 0 1 1 0
3 2 2 1 0 0 0 0 0
1 2 1 0 1 0 1 1 1
1 2 1 1 0 1 1 0 1
3 1 1 1 1 1 0 0 0
3 0 1 3 0 1 0 0 0
3 2 1 1 0 1 0 0 0
1 4 1 1 0 0 0 0 1
3 1 0 2 0 1 1 0 0
3 0 2 1 0 2 0 0 0
3 1 1 0 1 1 0 1 0
2 0 3 0 0 0 0 2 1
2 2 3 0 1 0 0 0 0
2 1 1 2 1 0 1 0 0
3 2 2 0 1 0 0 0 0
2 2 3 1 0 0 0 0 0
3 2 2 0 0 0 0 1 0
0 2 2 3 0 1 0 0 0
2 1 3 0 0 1 1 0 0
1 2 2 2 0 0 0 1 0
3 2 2 0 1 0 0 0 0
1 2 2 2 0 0 0 0 1
2 2 2 1 0 1 0 0 0
2 2 2 0 1 0 0 1 0
3 1 1 1 0 1 0 1 0
3 0 4 0 0 0 0 0 1
1 0 4 1 0 1 0 1 0
1 3 1 1 0 0 1 1 0
1 2 2 2 0 0 1 0 0
2 2 1 1 0 0 0 2 0
2 1 2 1 1 0 0 1 0
2 1 3 0 1 0 0 1 0
1 5 0 1 1 0 0 0 0
2 2 1 0 2 0 0 1 0
0 2 4 0 0 1 1 0 0
1 2 4 0 0 0 1 0 0
2 3 2 1 0 0 0 0 0
0 4 1 0 0 1 0 1 1
1 2 3 0 0 1 0 1 0
1 4 1 1 0 0 1 0 0
1 1 3 1 1 1 0 0 0
2 2 0 2 2 0 0 0 0
3 2 0 2 0 0 0 1 0
2 1 1 2 0 0 1 1 0
2 0 2 2 0 1 1 0 0
1 1 4 0 0 0 1 1 0
1 2 2 0 1 0 0 2 0
1 2 2 1 0 0 1 1 0
1 3 2 0 1 0 0 0 1
1 4 1 1 0 0 0 1 0
3 1 2 1 0 0 1 0 0
3 1 2 1 0 0 1 0 0
2 2 1 0 1 0 0 1 1
1 2 2 0 0 0 0 1 2
2 2 1 1 0 0 0 2 0
3 0 2 1 0 1 0 0 1
2 0 1 2 0 1 0 2 0
1 2 1 2 0 0 1 0 1
1 2 3 1 0 0 1 0 0
4 1 0 1 1 1 0 0 0
3 2 0 1 1 1 0 0 0
1 2 3 1 0 0 0 0 1
2 1 2 1 2 0 0 0 0
0 3 0 3 1 0 0 1 0
2 3 2 1 0 0 0 0 0
1 2 3 2 0 0 0 0 0
1 1 2 3 1 0 0 0 0
1 1 3 0 0 1 0 1 1
2 2 3 0 0 0 1 0 0
2 2 2 1 0 1 0 0 0
2 2 1 0 0 0 0 2 1
3 1 0 3 0 0 0 1 0
0 3 2 2 0 0 1 0 0
1 2 1 2 1 0 1 0 0
1 3 1 1 0 0 0 1 1
1 2 2 1 0 0 0 1 1
2 2 1 1 0 0 1 0 1
1 2 2 1 1 0 1 0 0
2 3 1 1 0 1 0 0 0
2 1 2 0 1 1 0 0 1
3 0 3 0 0 0 1 1 0
1 2 2 0 0 0 2 0 1
2 2 1 1 0 0 1 1 0
2 1 1 1 0 1 1 0 1
1 4 0 1 1 0 1 0 0
0 4 1 1 1 0 0 0 1
1 4 2 0 0 0 1 0 0
1 3 1 2 0 1 0 0 0
1 2 1 1 0 0 1 1 1
2 2 2 0 1 0 0 0 1
2 2 1 2 0 0 1 0 0
2 0 4 0 1 0 0 1 0
1 3 2 0 1 1 0 0 0
2 1 2 1 0 0 1 0 1
3 1 1 2 0 0 0 1 0
3 2 1 0 1 0 1 0 0
2 3 2 1 0 0 0 0 0
1 3 1 1 1 0 0 1 0
0 4 3 0 0 0 1 0 0
0 4 3 0 0 1 0 0 0
2 1 2 1 0 1 1 0 0
2 3 2 0 0 0 0 1 0
2 3 1 1 0 0 0 1 0
0 3 3 0 0 2 0 0 0
1 3 3 0 1 0 0 0 0
2 1 2 1 1 0 0 1 0
1 2 1 3 0 0 1 0 0
1 3 1 1 0 1 0 0 1
1 2 2 2 0 0 1 0 0
1 3 1 1 0 1 0 1 0
0 4 1 1 0 1 1 0 0
1 2 1 3 0 0 0 0 1
0 2 2 0 0 0 1 0 3
1 4 0 2 0 1 0 0 0
1 3 1 2 0 1 0 0 0
0 4 0 2 0 0 0 1 1
3 1 2 1 0 1 0 0 0
1 1 3 1 1 0 1 0 0
0 2 1 2 1 0 1 0 1
2 2 1 2 0 0 1 0 0
1 5 1 0 0 0 0 0 1
2 2 1 2 0 0 0 1 0
0 4 1 1 0 0 0 1 1
1 3 1 1 0 0 0 0 2
1 2 1 1 0 1 0 2 0
1 0 1 0 2 2 1 1 0
3 3 1 0 0 0 1 0 0
2 0 2 0 3 1 0 0 0
6 1 1 0 0 0 0 0 0
1 2 3 0 1 1 0 0 0
2 1 1 0 2 0 0 2 0
6 1 1 0 0 0 0 0 0
2 3 1 1 0 0 0 0 1
4 2 1 1 0 0 0 0 0
4 1 0 0 1 1 0 1 0
2 4 2 0 0 0 0 0 0
3 2 2 0 1 0 0 0 0
2 2 2 0 1 1 0 0 0
4 0 3 0 0 1 0 0 0
2 2 2 1 0 0 1 0 0
2 3 1 0 1 0 0 1 0
2 4 2 0 0 0 0 0 0
3 2 1 0 0 1 0 1 0
2 2 2 0 2 0 0 0 0
3 2 1 2 0 0 0 0 0
2 2 1 0 1 0 1 1 0
1 4 1 0 1 0 0 0 1
1 4 1 1 0 0 0 1 0
2 3 1 1 1 0 0 0 0
3 2 2 0 0 0 0 0 1
4 2 0 1 0 0 1 0 0
5 1 0 1 0 0 1 0 0
4 0 1 2 0 0 0 0 1
2 2 2 1 0 0 1 0 0
2 1 2 1 0 1 0 1 0
1 2 1 1 1 0 0 2 0
2 3 0 1 0 0 0 2 0
2 1 1 2 0 1 1 0 0
2 1 1 1 1 1 1 0 0
2 1 3 1 0 0 0 0 1
2 1 3 1 0 0 0 0 1
1 2 2 1 1 0 0 1 0
1 3 2 1 0 0 0 0 1
2 1 1 3 0 0 0 0 1
4 2 1 0 0 1 0 0 0
1 3 2 1 0 1 0 0 0
2 3 2 0 0 0 0 1 0
4 1 3 0 0 0 0 0 0
1 3 2 0 0 1 1 0 0
2 4 0 2 0 0 0 0 0
1 2 1 2 1 0 0 0 1
3 2 1 1 0 0 0 0 1
2 2 2 1 0 0 0 0 1
1 4 1 0 1 0 0 1 0
2 1 3 1 0 1 0 0 0
3 1 3 0 1 0 0 0 0
3 1 2 0 1 1 0 0 0
1 3 2 1 0 0 1 0 0
3 2 3 0 0 0 0 0 0
3 2 1 1 0 0 0 1 0
2 1 3 1 0 0 1 0 0
0 6 1 0 0 0 0 1 0
1 4 2 0 0 0 0 0 1
2 3 2 1 0 0 0 0 0
2 3 1 1 1 0 0 0 0
2 2 1 0 0 1 0 1 1
2 4 2 0 0 0 0 0 0
3 3 1 0 1 0 0 0 0
3 2 1 2 0 0 0 0 0
2 2 1 1 0 0 0 1 1
0 3 2 0 1 0 0 2 0
0 2 2 1 2 0 0 0 1
2 1 2 1 0 1 0 1 0
3 1 2 1 1 0 0 0 0
2 5 1 0 0 0 0 0 0
3 1 1 1 0 0 1 0 1
3 1 1 2 0 0 0 0 1
1 5 0 1 1 0 0 0 0
4 2 1 1 0 0 0 0 0
3 3 1 0 0 0 0 0 1
2 2 3 1 0 0 0 0 0
1 1 3 3 0 0 0 0 0
2 3 1 2 0 0 0 0 0
3 2 2 0 0 1 0 0 0
3 1 2 1 1 0 0 0 0
1 3 3 1 0 0 0 0 0
3 2 1 1 0 0 0 0 1
1 3 2 0 0 1 0 0 1
3 2 3 0 0 0 0 0 0
2 4 2 0 0 0 0 0 0
1 4 1 2 0 0 0 0 0
1 4 1 1 0 0 0 1 0
0 5 1 1 0 0 0 0 1
1 4 3 0 0 0 0 0 0
1 4 1 1 1 0 0 0 0
3 0 1 1 1 0 1 0 1
1 4 1 0 1 0 0 1 0
2 2 1 1 0 0 1 0 1
3 2 1 1 0 0 1 0 0
2 1 2 1 0 1 0 1 0
3 3 1 0 0 1 0 0 0
1 5 1 0 1 0 0 0 0
1 4 1 2 0 0 0 0 0
0 5 2 0 0 0 0 1 0
3 2 2 0 0 0 0 1 0
3 3 1 0 0 0 0 0 1
1 5 1 0 0 0 1 0 0
0 5 1 1 0 0 0 1 0
2 1 0 1 1 1 1 1 0
2 1 2 2 1 0 0 0 0
4 1 3 0 0 0 0 0 0
2 4 2 0 0 0 0 0 0
1 4 2 0 0 1 0 0 0
2 3 1 1 0 0 1 0 0
2 2 1 1 1 0 1 0 0
2 1 2 1 0 1 0 0 1
3 1 1 0 1 0 0 1 1
0 6 0 1 0 0 0 0 1
1 2 1 2 0 1 1 0 0
2 1 4 0 1 0 0 0 0
3 0 2 1 1 1 0 0 0
1 2 2 2 1 0 0 0 0
0 2 2 1 1 1 1 0 0
3 3 0 1 0 1 0 0 0
2 2 1 2 0 0 0 0 1
2 1 1 1 0 0 1 2 0
4 0 1 2 1 0 0 0 0
2 2 3 0 1 0 0 0 0
0 2 3 0 0 1 2 0 0
2 2 1 0 0 0 3 0 0
The above figures already reflect the frequency with which they occur..
2 commentaires
the cyclist
le 2 Mar 2023
It seems strange to me that if your input row is
in = [4 3 3 3 3 3 3 4 4]
that your output row would be
out = [1 1 1 1 1 1 1 1 1];
The weight is equal to 1 in two different cases:
You really don't need to distinguish between those two cases?
Voss
le 2 Mar 2023
If I'm interpreting the original question correctly, the output for
in = [4 3 3 3 3 3 3 4 4]
would be
out = [1 2 2 2 2 2 2 1 1]
Réponse acceptée
Voss
le 2 Mar 2023
load('counts.mat')
disp(counts);
[mm,nn] = size(counts);
weights = zeros(mm,nn);
for kk = 1:mm
[~,ii,jj] = unique(counts(kk,:));
weights(kk,:) = numel(ii)-jj+1;
end
disp(weights);
2 commentaires
Plus de réponses (1)
the cyclist
le 2 Mar 2023
Modifié(e) : the cyclist
le 2 Mar 2023
% Abbreviated example input
M = [4 1 1 2 0 0 0 0 0
3 1 1 2 0 0 1 0 0
1 5 1 0 0 1 0 0 0];
% If you want the weight of each element to be the difference from the row
% maximum
W1 = max(M,[],2) - M
% If you want the weight of each element to be the difference from the row
% maximum, except you want 1 for actual max (which is what you described)
W2 = max(M,[],2) - M + (M==max(M,[],2))
0 commentaires
Voir également
Catégories
En savoir plus sur Logical dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!