corrected the storing of features
- added some more documentation
- changed variable names for ctor of PCA feature
forgot to rename the used variable name
changed the way how parameters are passed to ChannelGenerators. Now we only pass parameters via
CTOR of each Generator
implemented Gauss Smooth Scaler
implemented HDF5-Reader to inject further channels from hdf-files
add some "gluecode"
more comments on the processing part
corrected PCA supervoxel feature such that the output has always the right shape
commented further on and also added status output about progress
FEATURES: framework is now considered to be working
          - todo: extraction of supervoxel by labels still is super slow...
fix some paths and let get_superpixels and get_features cooperate
initial commit to plot_features.py

use this file to visualize features on a slice of the data for different channels
make get_superpixels a function
store sub-slicing in a separate file
features: make function, compute on sub-block
merged conflicts
Merge branch 'master' of https://github.com/thorbenk/ia13project
seems to work now
addded h5combing