Penggunaan lain PCA dan rangkuman

Unsupervised Learning di R

Hank Roark

Senior Data Scientist at Boeing

Reduksi dimensi

reduksi dimensi

Visualisasi data

visualisasi data

Menafsirkan hasil PCA

menafsirkan hasil PCA - biplot dan scree plot

Pentingnya penskalaan data

membandingkan pentingnya fitur sebelum dan sesudah penskalaan

Berikutnya

# 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

Ayo berlatih!

Unsupervised Learning di R