在 Matlab 中使用指示矩阵创建标签向量

发布于 2024-11-09 17:40:46 字数 466 浏览 0 评论 0原文

给定一个大小为nx k的二进制矩阵M，我想创建一个大小为nx 1的向量Label这样 Label 的条目应包含 M 的串联列索引，其值为 1，

例如：如果 M矩阵给出为

M = [ 0 0 1 1  
      0 0 0 1  
      1 0 0 1
      0 0 0 0
      1 1 1 0 ]

结果标签向量应该是

 V = [ '34'  
        '4'  
       '14'  
        '0'
      '123' ]

原文

Given a binary matrix M of size n x k, i would like to create a vector Label of size n x 1 such that entry of Label should contain the concatenated column index of M where its values are 1

for eg: If the M Matrix is given as

M = [ 0 0 1 1  
      0 0 0 1  
      1 0 0 1
      0 0 0 0
      1 1 1 0 ]

The resultant Label Vector should be

 V = [ '34'  
        '4'  
       '14'  
        '0'
      '123' ]

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醉殇 2024-11-16 17:40:46

这是一种以矢量化方式紧凑地完成此操作的方法。

[nRows,nCols]=size(M);
colIndex=sprintf('%u',0:nCols);

V=arrayfun(@(x)colIndex(logical([~any(M(x,:)) M(x,:)])),1:nRows,'UniformOutput',false)

V = 

    '34'    '4'    '14'    '0'    '123'

Here is one way to do it compactly and in a vectorized manner.

[nRows,nCols]=size(M);
colIndex=sprintf('%u',0:nCols);

V=arrayfun(@(x)colIndex(logical([~any(M(x,:)) M(x,:)])),1:nRows,'UniformOutput',false)

V = 

    '34'    '4'    '14'    '0'    '123'

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恍梦境° 2024-11-16 17:40:46

这是使用 FIND 和 ACCUMARRAY 返回 N×1 字符串元胞数组：

>> [r,c] = find(M);  %# Find the row and column indices of the ones
>> V = accumarray(r,c,[],@(x) {char(sort(x)+48).'});  %'# Accumulate and convert
                                                       %#   to characters
>> V(cellfun('isempty',V)) = {'0'}  %# Fill empty cells with zeroes

V = 

    '34'
    '4'
    '14'
    '0'
    '123'

Here's a solution using FIND and ACCUMARRAY that returns an N-by-1 cell arrays of strings:

>> [r,c] = find(M);  %# Find the row and column indices of the ones
>> V = accumarray(r,c,[],@(x) {char(sort(x)+48).'});  %'# Accumulate and convert
                                                       %#   to characters
>> V(cellfun('isempty',V)) = {'0'}  %# Fill empty cells with zeroes

V = 

    '34'
    '4'
    '14'
    '0'
    '123'

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