How to use KNN to classify data in MATLAB

I'm having trouble understanding how the K-NN classification works in MATLAB. 'Here's the problem, I have a large dataset 30 out of 90 subjects.

form a dataset like this:

359.872,317.948, Under-ripe

316.988,257.132, ripe

346.748,30.782, Over-ripe

I once tried and the result: Error using load Unknown text on line number 1 of ASCII file aa.txt

In short, I want to - divide the data into 3 groups - "train" KNN and want to know validation.

I hope you can help me, thank you in advance

[Star Strider]

First, the error you posted has to do with using the load function to import your data. You will likely have to use a different function, such as dlmread or one of the others.

Second, different Toolboxes have different versions of the k-th nearest neighbor algorithm. Which Toolbox are you using?

[khusnul azima]

i have tried some load function to import data but data will not appear in the form of matrices and strings.

an example of a tested load

1.fileID = fopen('tes.txt');

2.A=load('tes.txt')

3.dlmread

My file consist in columns like this :

value      value     string

359.87  317.948   Under-ripe

[Image Analyst]

Unfortunately you forgot to attach 'tes.txt'. I'll check back later.

Answer 1

[Image Analyst]

See attached demo.

[khusnul azima]

how to enter data/read data in the form of matrix and string in one execution.