Installation of the Python Scientific computing environment under Windows, NumPy scipy Scikit, etc.

Background:

Objective: To use the Dbscan clustering algorithm under Python.

Scikit-learn is a scipy and numpy based open-source machine learning module, including classification, regression, clustering algorithm, the main algorithm has SVM, logistic regression, Naive Bayes,Kmeans,dbscan, etc. Currently funded by INRI, occasionally Google also funding a little.

SciPy is an open source Python algorithm library and Math Toolkit,scipy contains modules with optimizations, linear algebra, integrals, interpolation, special functions, fast Fourier transforms, signal processing and image processing, ordinary differential equation solving, and other commonly used calculations in science and engineering. Its functionality is similar to software MATLAB, Scilab, and GNU Octave.

NumPy and scipy are often used in conjunction, Python most machine learning libraries rely on these two modules, drawing and visualization depends on the matplotlib module,matplotlib style similar to MATLAB.

These are the packages under Python.

Introduction to the Python Scientific Computing package:

http://qxde01.blog.163.com/blog/static/67335744201368101922991/

Installation:

Scikit-learn Installation Instructions: http://ogrisel.github.io/scikit-learn.org/sklearn-tutorial/install.html

You can see that you need to install numpy,scipy matplotlib

Above three: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-learn

Execute pip install XX.WHL to install the corresponding package under CMD respectively. Success is as follows:

Errors you may encounter during the installation process:

Platform does not support:

Check the Python version and the number of system bits and the packages you downloaded are consistent. If consistent, may also error, specific reasons I do not know why, but I am running Python and the use of Pydev MyEclipse are closed, and the following coding error solved the natural good, inexplicable.

Encoding Error:

http://blog.csdn.net/hugleecool/article/details/17996993#

Installation of the Python Scientific computing environment under Windows, NumPy scipy Scikit, etc.