k-means_g
所属分类：人工智能/神经网络/深度学习
开发工具：Perl
文件大小：29KB
下载次数：3
上传日期：2014-03-05 21:25:10
上 传 者：
Aprillyj
说明： 实现了kmeans算法，其功能已经比较完善，聚类效果很好。
(Kmeans algorithm implements its function have been more perfect, clustering works well.)
文件列表:
k-means_g (0, 2014-03-05)
k-means_g\.classpath (422, 2014-03-01)
k-means_g\.project (383, 2013-11-27)
k-means_g\.settings (0, 2014-03-05)
k-means_g\.settings\org.eclipse.core.resources.prefs (149, 2014-03-01)
k-means_g\.settings\org.eclipse.jdt.core.prefs (629, 2014-03-01)
k-means_g\bin (0, 2014-03-05)
k-means_g\bin\code (0, 2014-03-05)
k-means_g\bin\code\canopy.class (3226, 2014-03-01)
k-means_g\bin\code\k_mean.class (4082, 2014-03-01)
k-means_g\bin\data (0, 2014-03-05)
k-means_g\bin\data\Data.class (747, 2014-03-01)
k-means_g\bin\document (0, 2014-03-05)
k-means_g\bin\document\Cosine.class (908, 2014-03-01)
k-means_g\bin\document\document_feature_vector.class (2983, 2014-03-01)
k-means_g\bin\graph$1.class (4950, 2014-03-01)
k-means_g\bin\graph.class (3269, 2014-03-01)
k-means_g\bin\image (0, 2014-03-05)
k-means_g\bin\image\Euclidean.class (773, 2014-03-01)
k-means_g\bin\image\image_feature_vector.class (2393, 2014-03-01)
k-means_g\bin\main$1.class (1408, 2014-03-01)
k-means_g\bin\main$2.class (741, 2014-03-01)
k-means_g\bin\main.class (561, 2014-03-01)
k-means_g\src (0, 2014-03-05)
k-means_g\src\code (0, 2014-03-05)
k-means_g\src\code\canopy.java (6865, 2013-12-08)
k-means_g\src\code\k_mean.java (5014, 2013-12-14)
k-means_g\src\data (0, 2014-03-05)
k-means_g\src\data\Data.java (1039, 2013-12-08)
k-means_g\src\document (0, 2014-03-05)
k-means_g\src\document\Cosine.java (791, 2013-12-08)
k-means_g\src\document\document_feature_vector.java (2659, 2014-03-01)
k-means_g\src\graph.java (7702, 2013-12-14)
k-means_g\src\image (0, 2014-03-05)
k-means_g\src\image\Euclidean.java (455, 2013-12-07)
k-means_g\src\image\image_feature_vector.java (2222, 2013-12-14)
k-means_g\src\main.java (1938, 2013-12-14)
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