Cluster Analysis in Data Mining

开始时间: 08/08/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/cluster-analysis

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课程详情

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications.

数据挖掘中的聚类分析:发现聚类分析的基本概念,然后研究一组典型的聚类方法,算法和应用程序。这包括分区方法(例如k均值),分层方法(例如BIRCH)和基于密度的方法(例如DBSCAN / OPTICS)。此外,学习用于聚类验证和聚类质量评估的方法。最后,请参阅应用程序中的集群分析示例。

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课程简介

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodol

课程标签

聚类分析 数据挖掘 数据挖掘中的聚类分析 韩家炜

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