Description: Solaris环境下的数据挖掘算法：birch聚类算法。该算法适用于对大量数据的挖掘。-Solaris environment data mining algorithms : birch clustering algorithm. The algorithm is applicable to the large volume of data mining. Platform: |
Size: 1320643 |
Author:npu |
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Description: Solaris环境下的数据挖掘算法：birch聚类算法。该算法适用于对大量数据的挖掘。-Solaris environment data mining algorithms : birch clustering algorithm. The algorithm is applicable to the large volume of data mining. Platform: |
Size: 1319936 |
Author:npu |
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Description: Birch:这是一种综合的层次聚类的方法，它介绍了两个概念，聚类特征和聚类特征树，它们是用来表示聚类的。这些结构能够帮助聚类方法能运行得更快，能够处理大数据量。-Birch: It is a comprehensive hierarchical clustering method, it introduces two concepts, clustering features and clustering feature tree, which is used to express clustering. These structures can help clustering method can run faster, can handle large volume of data. Platform: |
Size: 260096 |
Author:达达幽 |
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Description: 经典的层次聚类算法Birch。在linux下运行通过，可以实现大规模数据的层次聚类。-Classical hierarchical clustering algorithm Birch. In linux run through, you can realize a large-scale data on hierarchical clustering. Platform: |
Size: 195584 |
Author:肖宪 |
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Description: 经典的构建FP生长数的代码。可以用于数据挖掘中构建Birchtr-Construction of the classic growth of the number of FP code. Can be used for data mining to build Birchtr Platform: |
Size: 5120 |
Author:肖宪 |
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Description: 聚类是把一组个体按照相似性归成若干类别，即“物以类聚”。它的目的是使得属于同
一类别的个体之间的距离尽可能的小而不同类别上的个体间的距离尽可能的大。聚类方
法包括统计方法、机器学习方法、神经网络方法和面向数据库的方法。
-Clustering is a group of individuals as to the similarity in accordance with a number of categories, that is, " 物以类聚." Its purpose is to allow individuals fall into the same category as far as possible the distance between the different categories of small and the individual as much as possible the distance between the major. Clustering methods, including statistical methods, machine learning, neural network methods and database-oriented approach. Platform: |
Size: 1422336 |
Author:qingpeng yu |
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Description: birch，一种针对大量数据的分层聚类算法，-birch, one for large amounts of data hierarchical clustering algorithm, Platform: |
Size: 307200 |
Author:fang |
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Description: birch algorithm
You should have received a copy of the GNU Lesser General Public License
* along with birch-clustering-algorithm. If not, see <http://www.gnu.org/licenses/>.
building - building cftree inserting a new data-point
* compacting - make cftree smaller enlarging the range of sub-clusters
* clustering - clustering sub-clusters(summarized clusters) using the existing clustering algorithm
* redistribution - labeling data-points to the closest center-birch algorithm
You should have received a copy of the GNU Lesser General Public License
* along with birch-clustering-algorithm. If not, see <http://www.gnu.org/licenses/>.
building - building cftree inserting a new data-point
* compacting - make cftree smaller enlarging the range of sub-clusters
* clustering - clustering sub-clusters(summarized clusters) using the existing clustering algorithm
* redistribution - labeling data-points to the closest center Platform: |
Size: 2048 |
Author:Satish Kumar Saini |
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Search - BIRCH clustering