没有合适的资源?快使用搜索试试~ 我知道了~
资源推荐
资源详情
资源评论
Principles and Applications of Business Intelligence
Chap 6: 聚类
1
Introduction+to
商 务 智 能
©He Jun Principles and Applications of Business Intelligence
Lecture+6:+Clustering
第六章 聚类
Principles and Applications of Business Intelligence
Chap 6: 聚类
2
Clustering
1. What is Cluster Analysis?
2. A Categorization of Clustering Methods
3. Types of Data in Cluster Analysis and similarity
computation
4. Partitioning Methods
5. Hierarchical Methods
6. Case study
7. Summary
Principles and Applications of Business Intelligence
Chap 6: 聚类
3
What is Cluster Analysis?
§ cluster(类): 一组数据对象
§ Cluster Analysis(聚类分析)
- 将数据对象分到各个簇(cluster)中
§ unsupervised classification(无监督学习 )
- 没有用户属于哪个簇的训练数据
- 簇的个数
§ Application
- As a stand-alone tool to get insight into data
distribution (做为一种深入了解数据分布的独立工具)
- As a preprocessing step for other algorithms
Principles and Applications of Business Intelligence
Chap 6: 聚类
4
Quality: What Is Good Clustering?
§ A good clustering method will produce high quality
clusters with
- high intra-class similarity
- low inter-class similarity
❖ The quality of a clustering result depends on both the
similarity measure used by the method and its
implementation (相似度的定义)
§ The quality of a clustering method is also measured by its
ability to discover some or all of the hidden patterns (隐含
模式的发现)
Principles and Applications of Business Intelligence
Chap 6: 聚类
5
What is Cluster Analysis?
§ Finding groups of objects such that the objects in a group
will be similar (or related) to one another and different
from (or unrelated to) the objects in other groups
Inter-cluster
distances are
maximized
Intra-cluster
distances are
minimized
剩余84页未读,继续阅读
资源评论
宝贝的麻麻
- 粉丝: 35
- 资源: 294
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功