A sandbox for exploring graphs and machine learning.
Graphs are also referred to as networks and formaly defined by:
G = (V,E)
Machine learning and optimization methos.
- Supervised Methods
- Unsupervised (or semi supervised) Methods
- Decision tree problems and methods
- Clustering
- Dimensionality reduction
Data mining and graph mining analytic methods igraph
Sites Used:
The following was requrired by igraph to work in script (CLI):
- Installing pkgconfig on macosx, src code
but using brew install pkg-config also worked just note that we need the dependencies, and to finally compile pycairo
I had to call configure using
LIBTOOLIZE=glibtoolize ./autogen.sh --prefix=/Users/saguinag/anaconda2see the filemacosx_commands.txt - pycairo
- easy-flexible-framework-for-community-detection
Next to tackle:
./Modularity Modularity | Clustering | Community Detection
./Theano Jupyter notebooks on Theano setup and examples.
- 20Dec16: Get this working https://blog.dominodatalab.com/social-network-analysis-with-networkx/