This chapter dealt with tools appropriate for data mining and explored modules such as stats
(for statistics), spatial
(for data structures), and cluster
(for clustering and vector quantization). In the next chapter, additional functionalities included in the SciPy module, scipy.spatial
, will be studied, complementing the ones already explored in previous chapters. As usual, each function introduced will be illustrated via non-trivial examples which can be enriched modifying the IPython Notebook corresponding to this chapter.
Learning SciPy for Numerical and Scientific Computing Second Edition
Learning SciPy for Numerical and Scientific Computing Second Edition
Overview of this book
Table of Contents (15 chapters)
Learning SciPy for Numerical and Scientific Computing Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Introduction to SciPy
Working with the NumPy Array As a First Step to SciPy
SciPy for Linear Algebra
SciPy for Numerical Analysis
SciPy for Signal Processing
SciPy for Data Mining
SciPy for Computational Geometry
Interaction with Other Languages
Index
Customer Reviews