How can i do apply operator componentwice in any vector in N dimensional space? Mat lab code for any vector in N dimension

1 vue (au cours des 30 derniers jours)
Here is my vector in 100-dimension.
v=
-20
9
-50
90
60
8
16
50
-43
.
.
.
-15
I want to implement operator for each component: i.e if the component is less than -10, take 0. the component is less than between -10 and 10, take 1, the component is greater than or equal to than 10, take 2.
Operating componentwise using this and putting all together as one vector is my problem.
for the above vector, the resulting vector will be
v=
0
1
0
2
2
1
2
2
0
.
.
.
0
How can I code this for an arbitrary vector in N-dimensional vector? in 1000 dimensional, in 200000 dimensional?

Réponse acceptée

Star Strider
Star Strider le 27 Oct 2018
Try this:
f = @(x) 0.*(x <= -10) + 1.*((x > -10) & (x < 10)) + 2.*(x >= 10); % Anonymous Function
v = randi([-99 99], 20, 1); % Create Vector
Result = [v f(v)] % Vector & Classification
Result =
14 2
69 2
-93 0
28 2
57 2
-86 0
-35 0
2 1
-42 0
-3 1
14 2
-73 0
-43 0
-91 0
25 2
73 2
-9 1
-34 0
39 2
-29 0
Note that this function is vectorised, so it also works for matrices.

Plus de réponses (2)

Stephen23
Stephen23 le 27 Oct 2018
Simpler:
>> v = [-20;9;-50;90;60;8;16;50;-43]
v =
-20
9
-50
90
60
8
16
50
-43
>> w = (v>=-10)+(v>=10)
w =
0
1
0
2
2
1
2
2
0

Walter Roberson
Walter Roberson le 27 Oct 2018
discretize(v,[-inf,-10, 10,inf]) - 1
or
[~,bin] = histc(v,[-inf,-10, 10,inf]);
bin - 1
  2 commentaires
Steven Lord
Steven Lord le 27 Oct 2018
When you call discretize, you can specify the values that should be stored in the output instead of the bin number using the third input.
v = 20*randn(10, 1);
v2 = discretize(v, [-Inf, -10, 10, Inf], [73 42 -999]);
[v, v2]
Elements in v between -Inf and -10 will have 73 in the corresponding element of v2 and similarly for the second and third bins.
Walter Roberson
Walter Roberson le 27 Oct 2018
Thanks, Steven. That would give us
discretize(v,[-inf -10 10 inf],[0 1 2])
which might be clearer to read.

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