Clustering in R Xue li CS 548 showcase

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Clustering in R Xue li CS 548 showcase

Clustering in R Xue li CS 548 showcase

Source • http: //www. statmethods. net/advstats/cluster. html • http: //www. r-project. org/ • http:

Source • http: //www. statmethods. net/advstats/cluster. html • http: //www. r-project. org/ • http: //cran. rproject. org/web/packages/cluster/index. html • http: //cran. r-project. org/web/packages/

Introduction to R R is a free software programming language and software environment for

Introduction to R R is a free software programming language and software environment for statistical computing and graphics. (From Wikipedia) For two kinds of people: Statisticians and data miners Two main applications: Developing statistical tools, Data analysis

• If you have learned any other programming language, it will be very

• If you have learned any other programming language, it will be very easy to handle R. • If you don’t, R will be a good start

Package and function • http: //cran. rproject. org/web/packages/available_packages _by_name. html

Package and function • http: //cran. rproject. org/web/packages/available_packages _by_name. html

Clustering • Package: “cluster”, “fpc”… • Functions: “kmeans”, “dist”, “daisy”, “hclust”…

Clustering • Package: “cluster”, “fpc”… • Functions: “kmeans”, “dist”, “daisy”, “hclust”…

Main steps • Data preparation (missing value, nominal attribute…) • K-means • Hierarchical •

Main steps • Data preparation (missing value, nominal attribute…) • K-means • Hierarchical • Plotting/Visualization • Validating/Evaluation

disadvantage • Cannot handle nominal attributes and missing values directly • Cannot provide evaluating

disadvantage • Cannot handle nominal attributes and missing values directly • Cannot provide evaluating matrix directly

Advantage • Can handle large dataset • Write our own functions (Easier than Java

Advantage • Can handle large dataset • Write our own functions (Easier than Java in Weka)

BAB 9 SHOU XUE WU XUE REN JIBAB 9 SHOU XUE WU XUE REN JI
CS 548 Spring 2015 Clustering Showcase By GuojunCS 548 Spring 2015 Clustering Showcase By Guojun
CS 548 Spring 2016 Clustering Showcase II PresentedCS 548 Spring 2016 Clustering Showcase II Presented
CS 548 Fall 2019 Clustering Showcase by ApiwatCS 548 Fall 2019 Clustering Showcase by Apiwat
Lecture 12 Clustering What is Clustering Clustering isLecture 12 Clustering What is Clustering Clustering is
ENSEMBLE CLUSTERING ENSEMBLE CLUSTERING clustering algorithm 1 partitionENSEMBLE CLUSTERING ENSEMBLE CLUSTERING clustering algorithm 1 partition
FLAT CLUSTERING HIERARCHICAL CLUSTERING What is clustering GroupingFLAT CLUSTERING HIERARCHICAL CLUSTERING What is clustering Grouping
DATA MINING CLUSTERING Clustering 4 Clustering unsupervised classificationDATA MINING CLUSTERING Clustering 4 Clustering unsupervised classification
Clustering Kmeans Clustering 2 means Clustering Curve ShowsClustering Kmeans Clustering 2 means Clustering Curve Shows