This notebook gives a tutorial on spectal clustering. It starts with a brief overview, and then explains the math behind it. The tutorial gives a brief introduction to the basic graph theory needed to understand spectral clustering, and some linear algebra. There is an examples of spectral clustering on an arbitrary dataset in R, and image segmenation in Python. The tutorial concludes by giving a brief summary, reviews advantages and disadvantages of this method, and covers real world applications.