I Python Programming Preliminaries
1 Python Programming 101
2 The NumPy Library
3 The Pandas Library
4 The Matplotlib Library
II Data Clustering in Python
5 Introduction to Data Clustering
6 Agglomerative Hierarchical Algorithms
7 DIANA
8 The k-means Algorithm
9 The c-means Algorithm
10 The k-prototypes Algorithm
11 The Genetic k-modes Algorithm
12 The FSC Algorithm
13 The Gaussian Mixture Algorithm
14 The KMTD Algorithm
15 The Probability Propagation Algorithm
16 A Spectral Clustering Algorithm
17 A Mean-Shift Algorithm
Biography
Guojun Gan is an Associate Professor in the Department of Mathematics at the University of Connecticut, where he has been since August 2014. Prior to that, he worked at a large life insurance company in Toronto, Canada for six years and a hedge fund in Oakville, Canada for one year. He earned a BS degree from Jilin University, Changchun, China, in 2001 and MS and PhD degrees from York University, Toronto, Canada, in 2003 and 2007, respectively.
