Materijal sa naprednim temama vezanim za klasterovanje visokodimentionih podataka

1. Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan: Automatic Subspace Clustering of High Dimensional Data, 
   ACM SIGMOD Record Volume 27, Issue 2 June 1998,  pp 94–105, https://doi.org/10.1145/276305.276314

2. Lance Parsons, Ehtesham Haque,  Huan Liu: Subspace Clustering for High Dimensional Data: A Review, 
   ACM SIGKDD Explorations NewsletterVolume 6Issue 1June 2004 pp 90–105https://doi.org/10.1145/1007730.1007731
   
3. Zhang, T., Ramakrishnan, R. & Livny, M.:  BIRCH: A New Data Clustering Algorithm and Its Applications,
   Data Mining and Knowledge Discovery 1, 141–182 (1997). https://doi.org/10.1023/A:1009783824328   
   
4. Michael Steinbach, Levent Ertöz, and Vipin Kumar: The Challenges of Clustering High Dimensional Data,
    In: Wille, L.T. (eds) New Directions in Statistical Physics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-08968-2_16


5. S. Geetha, K. Thurkai Muthuraj: Clustering Algorithms for High Dimensional Data Literature Review.
   https://www.rsisinternational.org/virtual-library/papers/clustering-algorithms-high-dimensional-data-literature-review/
    
6. Charu C. Aggarwal,Chandan K. Reddy: Data Clustering: Algorithms and Applications
   Chapman & Hall/CRC, 2013, ISBN:978-1-4665-5821-2
   Poglavlja 4,5,6, 9
   
7. Jiawei Han, Micheline Kamber, Jian Pei: Data Mining: Concepts & Techniques,    
   3rd ed., Morgan Kaufmann, 2012, ISBN:9780123814791
   Poglavlja 10, 11