/libbkmeans

A Library for clustering with K-means on binary data

Primary LanguageC++MIT LicenseMIT

============================================================================== libbkmeans: A Library for clustering with K-means on binary data

Manuel J. Marin-Jimenez

This software implements a kmeans clustering method for binary data. This can be used to cluster binary features as ORB, FREAK, etc.

Source-Code: https://github.com/mjmarin/libbkmeans

Contents of the package:

  • bin - the executable file will be created here
  • data - some test images
  • doc - folder where the documentation will be generated
  • include - contains all the software header files
  • libs - folder where the library will be generated
  • obj - folder where the object files will be generated during the compilation
  • src - contains all the software source files
  • tests - contains some programs to test the library

Requirements:

This software has been tested on MS Windows with MS Visual C++ 2010 Express and OpenCV 2.4.4

Quick start:

  1. Compile with CMake
  2. Run test program: clustercv data\plant.jpg 100

Citation:

If you use this library for your publications, please cite it as: @misc{libbkmeans, author = {Marin-Jimenez, Manuel J.}, title = {{LibBKmeans}: A Library for clustering with K-means on binary data}, year = {2013}, note = {Software available at \url{https://github.com/mjmarin/libbkmeans}} }

Version history:

  • v0.0.1: first release