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📄 changes

📁 该软件是基于C均值算法的聚类软件
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Changes in 2.1.1  - Fixed problems with the postscript output driver and newer versions    of ghostscript.  - Fixed problems with incorrect bitmap sizes for gif output format.  - Fixed various font problems with the xfig output format.  - Fixed a bug associated with incorrectly computing the similarities    in the hierarchical tree files.  - Corrected the ISIM values reported by the scluster program.   - Fixed a bug in -showsummaries=itemsets.  - Corrected the information displayed during -help for -showsummaries.  - Reduced the memory requirements of the rb-based clustering methods.Changes in 2.1.0  - Added a -showsummaries option for analyzing the co-occurrence    of the key features within the objects of each cluster.  - Added an agglomerative algorithm that uses partitional-clustering    to bias the agglomeration.  - Added similarity function based on extended Jackard coefficient     for graphs.  - Added a cluster-selection method for repeated bisecting clustering    that is based on the cardinality of the cluster's sub-space.  - Streamlined some of the parameters of vcluster & scluster.  - Fixed a major bug with Euclidean distance calculations on sparse    datasets.Changes in 2.0.0  - The new clustering programs are now called vcluster & scluster  - Added graph-partitioning based clustering algorithms  - Expanded all algorithms to operate on the object-to-object    similarity graph.  - Added -agglofrom and -agglocrfun functionality for hybrid    clustering  - Fixed many bugsChanges in 1.5.1a  - Fixed an improperly linked vacluster binary for Win32 platforms.Changes in 1.5.1  - Fixed some bugs associated with the -fulltree option and the     CLUTO_V_BuildTree routine. Changes in 1.5.0  - Added a set of fully functional agglomerative clustering    algorithms.  - Added support for hybrid partitional and agglomerative     clustering.  - Added an extensive set of cluster visualization capabilities.  - Added support for correlation coefficient based similarities.  - Added support for dense input files.    

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