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MATH 203: Applied Mathematics, Computing & Statistics Projects (CAMCOS)

Spring 2018, San Jose State University


This project, in continuation of Spring 2017, conducts research on scalable spectral clustering. We gratefully acknowledge Verizon Wireless for their generous support.

Toy data

The 20 newsgroups is our main data set.

We will also use the data sets available here: [link].


Lecture notes

  • SVD, dimensionality reduction, and clustering [PDF]

Overview of document clustering

  • A Survey of Text Clustering Algorithms [Link]

Dimensionality reduction of document data

  • Latent Semantec Indexing (LSI) [paper]
  • Locality Preserving Indexing (LPI) [Link]

Spectral clustering

Landmark based spectral clustering (LSC)