matlab 格式化文本文件的解析

比如这样一种格式化的文本文件，文件说明及下载地址：/pub/machine-learning-databases/statlog/german/ 的索引

fid = fopen('german.data', 'r');
C = textscan(fid, '%s, %d, %s, %s, %d, %s, %s, %d, %s, %s, %d, %s, %d, %s, %s, %d, %s, %d, %s, %s, %d');
fclose(fid);
n1 = numel(C);      % 属性列的个数
n2 = numel(C{1});   % 样本的个数
X = zeros(n1, n2);
for i = 1:n1,
    if iscell(C{i})
        for j = 1:n2,
                % A12 ⇒ 2
                if i < 10,
                    d = textscan(C{i}{j}, '%c%c%d');
                else
                % A103 ⇒ 3
                    d = textscan(C{i}{j}, '%c%c%c%d');
                end
                X(i, j) = d{end};
        end
    else
        X(i, :) = C{i};
    end
end 
y = X(end, :);
X(end, :) = [];
posX = X(:, y == 1);            % 700
negX = X(:, y == 2);            % 300
trainX = [posX(:, 1:350), negX(:, 1:150)];
trainY = [ones(1, 350), 2*ones(1, 150)];
testX = [posX(:, 351:end), negX(:, 151:end)];
testY = [ones(1, 350), 2*ones(1, 150)];
[trainX, s1] = mapminmax(trainX);
testX = mapminmax('apply', testX, s1);