Interactive feature exploration based on XmdvTool

A visual analytic toolkit is implemented for modeling the feature space of input data to identify a subset of interesting features for further tasks. The project integrates both clustering model and user-driven selections into an interactive feature analytics pipeline where the user interact with a cluster model space of all the features. The model of all the features are created based on the redundancy relationship iof all the features which s established by using pairwise metrics such as information entropy and correlation coefficient.

1. Qt 4.8.1
2. R 2.15.1
3. Rtools 2.15
4. RInside 0.2.10

It is strongly recommended to compile/build all the dependencies from source code using your system default c++ compiler, otherwise there will be linkage errors.

1. Install R 2.15.1 and set enviornment variable R_HOME to the installation directory
2. Install Qt 4.8.1 to your system
3. Download Rtools 2.15 and install it, you may want to use the compiler comes with Rtools as your default compiler for this project. Then rebuild Qt libraries using it.
4. Download RInside and follow the Embedding Qt Example to setup your Qt.
5. Buid this project using Qt Creater

1. Download R 2.15.1 source code and compile it using your system compiler
2. Download Qt 4.8.1 to your system
3. Download RInside and follow the Embedding Qt Example to setup your Qt.
4. Buid the project