Posted by **roxul** at Nov. 5, 2014

English | ISBN: 1466584513 | 2014 | 528 pages | PDF | 7 MB

Posted by **naag** at April 8, 2017

2011 | 260 Pages | ISBN: 3834819530 | PDF | 3 MB

Posted by **hill0** at March 25, 2017

English | 28 May 2013 | ISBN: 1447151577 | 124 Pages | PDF (True) | 3.57 MB

This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space.

Posted by **tukotikko** at Dec. 10, 2015

2011 | 260 Pages | ISBN: 3834819530 | PDF | 3 MB

Posted by **bookwarrior** at Sept. 21, 2015

2011 | 260 Pages | ISBN: 3834819530 | PDF | 3 MB

Posted by **happy4all** at June 14, 2015

2011 | 260 Pages | ISBN: 3834819530 | PDF | 3 MB

Posted by **bookwarrior** at May 16, 2015

2011 | 260 Pages | ISBN: 3834819530 | PDF | 3 MB

Posted by **ChrisRedfield** at May 15, 2015

Published: 2013-06-05 | ISBN: 1447151577 | PDF | 110 pages | 3.82 MB

Posted by **manamba13** at Jan. 27, 2015

English | 2009 | ISBN: 9812771654 | 347 Pages | PDF | 22 MB

This volume presents a collection of papers dealing with various aspects of clustering in biological networks and other related problems in computational biology.

Posted by **interes** at May 4, 2014

English | 2010 | ISBN: 9814304719 | 348 pages | PDF | 10,6 MB

This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature vector.