TIM-8131

Han, J., Kamber, M., & Pei, J. (2012). Data mining concepts and techniques (3rd ed.). Elsevier.
Read Chapter 10
This text explores the cluster analysis including basic concepts and methods.

Bhatia, P. (2019). Data mining and data warehousing: Principles and practical techniques. Cambridge University Press.
Read Chapter 7

Mehta, V. (2020). Analytical review of clustering techniques and proximity measures. Artificial Intelligence Review, 53(8).
This article briefly discusses the clustering techniques and anomaly detection techniques.

Irani, J., Pise, N. & Phatak, M. (2016). Clustering techniques and the similarity measures used in clustering: A survey. International Journal of Computer Applications. 134(7). pp. 9-14.

Shirkhorshidi, A.S., Aghabozorgi, S. & Wah, T.Y. (2015). A comparison study on similarity and dissimilarity measures in clustering continuous data. PLoS ONE, 10(12), e0144059.

Hastie, T., Tibshirani, R., & Friedman, J. (2017). The elements of statistical learning: Data mining, inference, and prediction (2nd ed., Springer Series in Statistics). Springer.

Murphy, K.P. (2022). Probabilistic machine learning : An introduction. The MIT Press.

Kelleher, J.D. (2019). Deep learning. The MIT Press.

Calin, O. L. (2020). Deep learning architectures : A mathematical approach. Springer.
This reading provides a brief summary of the chapters in this textbook.

Kotu, V. and Deshpande, B. (2018). Getting Started with RapidMiner. In Data Science Concepts and Practice, 2nd Edition. Morgan Kaufmann.
Read Chapter 15