Topic Clustering

The goal behind topic clustering is to see if the linguistic shift is more appreciable when comparing articles of the same topic. We would cluster articles by topic and compare topics language through years.

 References: 

• http://nlp.stanford.edu/IR-book/pdf/16flat.pdf : Flat clustering, K means, objective function, stopping criteria, optimization of number of number of clusters.
• http://faculty.washington.edu/jwilker/tft/Stewart.LabHandout.pdf : structure of a document clustering project in R.
• http://eprints.cs.vt.edu/archive/00001000/01/docclust.pdf : Document clustering including dimensionality reduction
• http://www.codeproject.com/Articles/439890/Text-Documents-Clustering-using-K-Means-Algorithm : example code for clustering with K means.