creave data mining - ia · creave data mining lecture 02: intro to rstudio and clustering 29...
TRANSCRIPT
Crea%veDataMining
Lecture02:IntrotoRStudioandClustering29February2016
DanielleGriego,[email protected],[email protected]
• HW1:Sharewhatyouhavelearnedabouturbandatamining(20min)
• Break(10min)• Rtutorial(60min)
Whatwe’llcovertoday:
1. Install R from http://cran.r-project.org/ 2. Install RStudio from http://www.rstudio.com/products/rstudio/download/ 3. Research other examples of urban data mining and make 3 slides about the most interesting project/application/resarch group(s) that you find. Will be presented at the beginning of next lecture.
Homework_1
ADJUSTCOLORS
CREATIVE DATA MINING Intuitively Analysing Design Ideas
OVERVIEWlecture_2.R
CREATIVE DATA MINING Intuitively Analysing Design Ideas
IRISDATASET(1936)en.wikipedia.org/wiki/Iris_flower_data_set
CREATIVE DATA MINING Intuitively Analysing Design Ideas
VIEWPREINSTALLEDDATAFRAMElecture_2_00.R
CREATIVE DATA MINING Intuitively Analysing Design Ideas
SAVEANDREADDATAlecture_2_01.R
CREATIVE DATA MINING Intuitively Analysing Design Ideas
USEONLYPARTSOFTHEDATAlecture_2_02.R
CREATIVE DATA MINING Intuitively Analysing Design Ideas
DATAFRAMEANDMATRIXlecture_2_03.R
CREATIVE DATA MINING Intuitively Analysing Design Ideas
ADDITIONALSTUFFlecture_2_04.R
CREATIVE DATA MINING Intuitively Analysing Design Ideas
Schedule
Homework: 1. Review the R-tutorials lecture_2_00 through lecture_2_04 2. Complete HW_2 3. Optional: Review how to export images from maps.stamen.com according to the tutorial on the
next pages. We will prepare the street maps for the next course exercise, but this is one method to create an image database for clustering analysis in the first block.
CREATIVE DATA MINING Intuitively Analysing Design Ideas
ZOOM UNTIL YOU CAN READ 17 IN HERE
Picture size 2000 x 2000 px
Finally click „make“
Adjust the yellow frame so It fills almost the whole screen
click the link here
download the image with a meaningful name (e.g. „ETHhoenggerberg.png“)