文件列表:

antsC++代码\0.solution (5891, 2004-12-14)
antsC++代码\accl_dunn_av.dat (8, 2004-12-14)
antsC++代码\accl_fmeasure.dat (9, 2004-12-14)
antsC++代码\accl_number.dat (2, 2004-12-14)
antsC++代码\accl_rand.dat (9, 2004-12-14)
antsC++代码\accl_summary.dat (186, 2004-12-14)
antsC++代码\accl_time.dat (3, 2004-12-14)
antsC++代码\accl_variance.dat (9, 2004-12-14)
antsC++代码\BIN\ACCL (62629, 2004-12-14)
antsC++代码\BIN (0, 2006-02-25)
antsC++代码\INCLUDE\ACCL.H (6528, 2004-11-02)
antsC++代码\INCLUDE\CLALG.H (1775, 2004-11-02)
antsC++代码\INCLUDE\clustering.h (1225, 2004-09-24)
antsC++代码\INCLUDE\CONF.H (3195, 2004-11-03)
antsC++代码\INCLUDE\DATABIN.H (14456, 2004-11-03)
antsC++代码\INCLUDE\evaluation.h (1879, 2004-11-03)
antsC++代码\INCLUDE\GASDEV.H (149, 2004-11-02)
antsC++代码\INCLUDE\GRID.H (6739, 2004-11-03)
antsC++代码\INCLUDE\RANDOM.H (417, 2004-11-02)
antsC++代码\INCLUDE\TESTSET.H (1498, 2004-09-24)
antsC++代码\INCLUDE\TMATRIX.H (3144, 2004-09-24)
antsC++代码\INCLUDE (0, 2006-02-25)
antsC++代码\initialdata.dat (20120, 2004-12-14)
antsC++代码\OBJECTS\ACCL.O (20576, 2004-12-14)
antsC++代码\OBJECTS\CLALG.O (5740, 2004-11-08)
antsC++代码\OBJECTS\clustering.o (5368, 2004-11-08)
antsC++代码\OBJECTS\evaluation.o (10396, 2004-11-08)
antsC++代码\OBJECTS\GASDEV.O (1488, 2004-11-08)
antsC++代码\OBJECTS\GRID.O (14220, 2004-11-08)
antsC++代码\OBJECTS\MAIN.O (22568, 2004-12-14)
antsC++代码\OBJECTS\RANDOM.O (968, 2004-11-08)
antsC++代码\OBJECTS\TESTSET.O (13240, 2004-11-08)
antsC++代码\OBJECTS (0, 2006-02-25)
antsC++代码\SOURCE\ACCL.C (20883, 2004-12-14)
antsC++代码\SOURCE\ACCL.C~ (20676, 2004-11-03)
antsC++代码\SOURCE\CLALG.C (1464, 2004-11-02)
antsC++代码\SOURCE\clustering.C (2118, 2004-09-24)
antsC++代码\SOURCE\evaluation.C (8284, 2004-11-03)
antsC++代码\SOURCE\GASDEV.C (497, 2004-11-02)
... ...

README file for ant-based clustering as described in the paper Handl, Knowles and Dorigo (2004) Ant-based clustering and topographic mapping. Technical report TR-IRIDIA-2004-09. To install (under Linux) follow the following steps: 1) Enter the directory ants/source and type "make accl". 2) To run the program for one of the predefined (hard-coded data sets) go to the directory ants/bin and type "./accl ", where is e.g. square1 or sizes1. For a complete list of possible problem names see the file ants/source/testset.C. 3) Output on the command line are the cluster sizes, the number of clusters, different measures of clustering quality (F-Measure, Rand Index, Variance, Dunn Index) and the runtime. Additional output files are the files "initialdata.dat" (containing the generated data set) and 0.solution (containing the clustering solution in the format ). 4) The algorithm can be repeatedly run on the same data set by changing the parameter "evalnbr" in ants/include/conf.h. The accl_*.dat then store the algorithm's performance for each run, and the accl_summary.dat file provides summary statistics Mean and standard deviation). 5) The ant algorithm is implemented in the file accl.C. Parameters can be changed in conf.h. For feedback, questions and problems, please contact Julia.Handl@gmx.de.

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：