Posts tagged: clustering

Gmeans Clustering Software – Compatible with GCC 4+

By Volkan TUNALI, June 27, 2010 9:10 pm

Gmeans is a C++ program for clustering, which has essentially spherical k-means clustering algorithm. The original source code of the program (released under the GNU Public License (GPL)) is known to be compiled using gcc 3.0.3 in Solaris and Linux. However, recent Linux distributions come with gcc 4 or newer, and Gmeans cannot be compiled with gcc 4 due to several changes in gcc for compliance with the standards of C++ language. So, if we want to compile Gmeans using gcc 4+, we need to make modifications to almost all code files.

As part of my research, I need to use Gmeans on Linux, and I use Ubuntu 9.1, on which currently gcc 4.4.1 is installed. So, I have made the necessary modifications. You can download the gcc 4+ compatible source code of Gmeans here (.tar.gz file 810 KB). I have not removed any license statements or notes/comments of the author.

If this revised version is helpful to you, please let me know with your comments.

Data Mining Books

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By Volkan TUNALI, June 23, 2010 8:25 pm

The following are the books I think very useful for beginners as well as advanced researchers in data mining field.

Data Mining: Concepts and Techniques, Second Edition

Data Mining: Concepts and Techniques, Second Edition

Authors: Jiawei HanMicheline Kamber
Publisher: Morgan Kaufmann Publishers

This may be the most known data mining book. I recommend especially to beginners.








Introduction to Data Mining

Introduction to Data Mining

Authors: Pang-Ning TanMichael SteinbachVipin Kumar
Publisher: Addisson-Wesley










Grouping Multidimensional Data: Recent Advances in Clustering

Grouping Multidimensional Data: Recent Advances in Clustering

Authors: Jacob Kogan, Charles Nicholas, Marc Teboulle (Editors)
Publisher: Springer














There are other books I really like. I’ll introduce them later.

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