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Description: 几种数据挖掘中聚类的几种算法介绍：rock,sprint,birch（英文版的）-Several data mining Clustering Algorithms Introduction: rock, sprint, birch (English)
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Size: 2589696 |
Author: 古月 |
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Description: 数据挖掘经典的hierarchial clustering algorithm-Data Mining classical hierarchial clustering algorithm
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Size: 1148928 |
Author: li |
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Description: 数据挖掘中经常用于增量挖掘的算法BRICH，设计与实现，免费下载-Frequently used data mining algorithm for incremental mining BRICH, design and implementation, free download
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Size: 258048 |
Author: 闫珍 |
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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.
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Size: 1422336 |
Author: qingpeng yu |
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Description: El algoritmo original del BIRCH
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Size: 8268800 |
Author: Francisco |
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Description: Research about Birch data clustering algorithm
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Size: 1420288 |
Author: amila banuka |
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Description: 辛苦开发，奋战一周之成果——基于Java的Birch算法。-Java-based Birch algorithm
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Size: 573440 |
Author: tcm |
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Description: BIRCH算法c语言实现，数据挖掘，数据聚类分析-BIRCH algorithm c language, data mining, clustering analysis
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Size: 263168 |
Author: penny |
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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,
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Size: 307200 |
Author: fang |
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Description: 打字白桦林 朴树 静静的村庄飘着白的雪 阴霾的天空下鸽子飞翔 白桦树刻着那两个名字
他们发誓相爱用尽这一生有一天战火烧到了家乡小伙子拿起枪奔赴边疆心上人你不要为我担心
等着我回来在那片白桦林天空依然阴霾依然有鸽子在飞翔谁来证明那些没有墓碑的爱情和生命
雪依然在下那村庄依然安详年轻的人们消失在白桦林噩耗声传来在那个午后心上人战死在远方沙场
她默默来到那片白桦林望眼欲穿地每天守在那里她说他只是迷失在远方-Hackberry typing quiet birch white village of floating clouds in the sky, the snow white doves to fly the two names engraved birch swear they love this life, one day, the exhaustion of war to his hometown sweetheart you guys do not take up guns rushed to the border worry about me until I return, the sky is still cloudy on that birch flying pigeons who still does not prove that the tomb of love and life is still snow in the next village, quiet young people disappeared in the birch bad news came in that the sound afternoon sweetheart died in battle far away silently to her a day to keep that piece of birch wistfully, where she said he was just lost in the distance
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Size: 6144 |
Author: 王细细 |
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Description: This a birch algorithm source code in visual studio c++ -This is a birch algorithm source code in visual studio c++
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Size: 305152 |
Author: umair |
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Description: BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".-BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".
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Size: 2048 |
Author: pepe |
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Description: BIRCH(Balanced Iterative Reducing and Clustering using Hierarchies)是一个综合的层次聚类算法。它用到了聚类特征(Clustering Feature, CF)和聚类特征树(CF Tree)两个概念，用于概括聚类描述。聚类特征树概括了聚类的有用信息，并且占用空间较元数据集合小得多，可以存放在内存中，从而可以提高算法在大型数据集合上的聚类速度及可伸缩性。 -BIRCH (Balanced Iterative Reducing and Clustering, using Hierarchies) is a comprehensive hierarchical clustering algorithm. It uses the characteristics of clustering (Clustering, Feature CF), and the two concepts of clustering feature tree (CF Tree), used to summarize the clustering description. The clustering feature tree summarizes the useful information of the clustering and space than a much smaller data sets can be stored in memory, which can improve the clustering algorithm on large data sets, speed and scalability.
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Size: 3072 |
Author: 陈小东 |
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Description: 这是birch C语言的源代码。里面有详细的代码注释方便学习birch算法-birch c
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Size: 799744 |
Author: 王文超 |
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Description: Compiler to support the Birch language.
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Size: 3072 |
Author: zhangkuangwei |
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Description: birch聚类算法库，template实现不许要编译直接加入已有的project中,an c++ template implementation of birch
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Size: 27648 |
Author: shusen |
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Description: BIRCH Data Mining in java
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Size: 60416 |
Author: sam |
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Description: 数据挖掘 聚类算法 birch 算法，对数据挖掘课程中的经典算法的描述与实现-The clustering algorithm birch algorithm
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Size: 101376 |
Author: sunfeilong |
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Description: birch python 修改，里面可能存在一些问题，但大体罗辑是对的-birch python modify
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Size: 4096 |
Author: wangqingtao |
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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
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Size: 2048 |
Author: Satish Kumar Saini |
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