Classification Algorithms for Unlabelled Data

I have a large amount of data for which I basically have to learn a classifier model.

Since I dont have labels for my data (ie my classes arent defined) , I am plannig to use a clustering based model.Could I use Random Forests/ Gradient Boosting Algoritihm in an unsupervised way for classification?Are these good approaches for unlabelled data?

Answer 1

[Akira Agata]

Unsupervised classification algorithms are summarized in the following link.

Unsupervised Learning

I think a simple k-Means clustering algorithms would be good first step for your data. Please try kmeans function and find out a hidden pattern in your data.

[Kenta]

I posted a clustering code with images here. I hope it helps you.

https://jp.mathworks.com/matlabcentral/fileexchange/75342-image-clustering-and-dimension-reduction-using-cnn