Aanvullende toepassingen van PCA en afronding

Unsupervised learning in R

Hank Roark

Senior Data Scientist at Boeing

Dimensiereductie

dimensiereductie

Unsupervised learning in R

Datavisualisatie

datavisualisatie

Unsupervised learning in R

PCA-resultaten interpreteren

PCA-resultaten interpreteren - biplot en screeplot

Unsupervised learning in R

Belang van schalen

belang van schalen vóór en na normalisatie

Unsupervised learning in R

Wat komt hierna

# URL to cancer dataset hosted on DataCamp servers
url <- "https://assets.datacamp.com/production/course_1903/datasets/WisconsinCancer.csv"
# Download the data: wisc.df
wisc.df <- read.csv(url)
wisc.data[1:6, 1:5]
         radius_mean texture_mean perimeter_mean area_mean smoothness_mean
842302         17.99        10.38         122.80    1001.0         0.11840
842517         20.57        17.77         132.90    1326.0         0.08474
84300903       19.69        21.25         130.00    1203.0         0.10960
84348301       11.42        20.38          77.58     386.1         0.14250
84358402       20.29        14.34         135.10    1297.0         0.10030
843786         12.45        15.70          82.57     477.1         0.12780
Unsupervised learning in R

Laten we oefenen!

Unsupervised learning in R

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