fill_missing_values_snn.m

来自「神经网络的工具箱, 神经网络的工具箱,」· M 代码 · 共 32 行

function x_new = fill_missing_values_snn(x)
%FILL_MISSING_VALUES_SNN Compute estimate for missing values.
%
% Syntax
%
%   x_new = fill_missing_values_snn(x)
%
%           x - double matrix, where missing values are indicated with
%               NaN.
%
% Description
%
%   FILL_MISSING_VALUES_SNN(X) estimates missing values in X by a
%   linear combination of known values in the same column.  
%

u = find(sum(isnan(x), 2));
k = setdiff([1:size(x,1)], u);

if (prod(size(k)) == 0)
   error('FILL_MISSING_VALUES_SNN: No rows without missing values'); 
end

x_new = x;
for i = u'
    mu = find(isnan(x(i,:)));
    nu = setdiff([1:size(x,2)] , mu);
    w = x(i,nu)/[x(k,nu); ones(1,prod(size(nu)))];
    x_new(i, mu) = w * [x(k,mu); ones(1, prod(size(mu)))];
end