Code and Results for Chapter 1:

Introduction:
These are results and code for the problems and examples found in Chapter 1 of this famous book.

• Utility Functions for Loading and Preprocessing Various Data Sets
  • load_geyser.m (load the geyser data set)
    
  • load_oronsay.m (load the oronsay data set)
    
  • load_pollen.m (load the pollen data set)
    
  • load_posse.m (load the posse data set)
    
  • load_singer.m (load the singer data set)
    
  • load_skulls.m (load the skulls data set)
    
  • load_spam.m (load the spam data set)
    
  • load_sparrow.m (load the sparrow data set)
    
  • load_leukemia.m (load the leukemia data set)
    
  • load_lungB.m (load the lungB data set)
    
  • load_iris.m (load the iris data set)
    
  • load_votfraud.m (load the votfraud data set)
    
• Utility Functions for Plotting Data
  • plot_labeled.m (plots the samples with colored symbols depending on the class label)
    
  • plot_two_labels.m (plots the samples with symbols depending on one class label and colors depending on another)
    
• prob_1_2.m (visualization of the leukemia data set)
  
• prob_1_3.m (visualization of the lungB data set)
  
• prob_1_5.m (various standardizations)
  
• prob_1_8.m (standardizations and the Euclidean distance-part 1)
  
• prob_1_9.m (standardizations and the Euclidean distance-part 2)
  
• prob_1_10.m (the log transform of uniform variables)
  
• prob_1_11.m (transforming the software data)
  
• range_trans.m (transform the data using a range shortening transformation)
  
• robust_norm.m (returns the robust normalization of the data in X)