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?

 采纳的回答

Unsupervised classification algorithms are summarized in the following link.
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.

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