Vector Space Models
- Scoring, Term Weighting & the Vector Space Model, Manning, Introduction to IR, 2009.
- Flat Clustering, Manning, Introduction to IR, 2009.
- Hierarchical Clustering, Manning, Introduction to IR, 2009.
- From Frequency to Meaning: Vector Space Models of Semantics, Turney and Pantel, JAIR, 2010.
- K-means++: The Advantages of Careful Seeding, Arthur and Vassilvitskii, SODA, 2007.
- Learning the K in K-means, Hamerly and Elkan, NIPS, 2003.
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise, Ester et al., KDD, 1996.
- OPTICS: Ordering Points To Identify the Clustering Structure, Ankerst et al., SIGMOD, 1999.
- Feature extraction, scikit-learn.
