How to find clustering directions from a dataset?

2 次查看（过去 30 天）

rnayek 2015-6-7

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/222802-how-to-find-clustering-directions-from-a-dataset

编辑： rnayek 2015-6-7

I have a time-domain dataset that has the form of x (where x(t) = A s(t)). In the transformed (Fourier) domain the dataset is clustered in certain directions which are given by the vectors of matrix A. I am trying to use fuzzy c-means clustering to get these directions (i.e. column vectors forming A) back. How can I do so? (I tried using the built-in function fcm but could not get anything useful for directions). Here's my code

clc
clear;
close all;
fs =500;
t = 0:1/fs:10-1/fs;
s = [sin(2*pi*2*t); sin(2*pi*10*t); sin(2*pi*50*t)];
A = [1  0.5  0.1;
     1 -0.5  0.3;];
x = A*s;
X = (dct(x'))'; 
plot(X(1,:),X(2,:))
hold on
plot(X(1,:),X(2,:),'O')
xlabel('X_1(f)'); ylabel('X_2(f)');
% findcluster
[center,U,obj_fcn] = fcm(X,3);