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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: 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: C# implementation of the BIRCH algorithm
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Size: 13312 |
Author: Vinicius |
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Description: BIRCH算法的JAVA实现，可读入文件且成功运行。-BIRCH algorithm JAVA realization
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Size: 5120 |
Author: 天道酬勤 |
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Description: 层次聚类算法-BIRCH，划分聚类算法—Kmeans，Kmodies，cannpoy等。-Hierarchical clustering algorithm-BIRCH, partition clustering algorithm-Kmeans, Kmodies, cannpoy like.
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Size: 53248 |
Author: harry |
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