using FLDA to classify IRIS data set

Chapter3 HW Iris classification using FLDA.m

LFDA.m

1. To do
Classify IRIS data set using FLDA and 1 nearest neighborhood classifier 


2. Test Result

A raw data
1. using all 4 features 
 94.6%

2. using 2 features (among 4)
 68%

B projected data using FLDA
1. using all 4 features 

a) reduction to d = 4

 93.3%

b) reduction to d = 2

 93.3%

c) reduction to d = 1

    94.6%

2. using 2 features (among 4)

a) reduction to d = 2

 74.7%

b) reduction to d = 1

    77.3% 


 -> FLDA is an useful tool for dimension reduction in pattern classification.