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Data Clustering in C++
... the courses I taught in the 80s at Polytechnic University.) Data clustering is a highly interdisciplinary field whose goal is to divide a ... all papers and books focus on the theory of data clustering. There are few books that teach people how to implement ...
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Packt.Native.Docker.Clustering.with.Swarm
Chapter 1, Welcome to Docker Swarm, introduces Swarm, and explains why you need a
clustering solution for your containers. It illustrates the Swarm features, giving a high-level
description of its architecture. We define some use cases and describe how ...
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机器学习-层次聚类(hierarchical clustering)
关于层次聚类(hierarchical clustering)的基本步骤:
1、假设每个样本为一类,计算每个类的距离,也就是相似度
2、把最近的两个合为一新类,这样类别数量就少了一个
3、重新新类与各个旧类(去了那两个合并的类)之间的相似度;
4、循环重复2和3直到所有样本点都归为一类
这个计算的过程,相当于重构一个二叉树,只是这个过程,是从树叶-->树枝-->树干的构建过程
本资源详细介绍层次聚类的算法
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Modern Technologies for Big Data Classification and Clustering
Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for ...
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