b. With the training data given, derive a regression equation to model the data
(7)
and classify data as short (represented using O) or medium (represented using 1).
The data is: (1.6,0), (1.9,1), (1.88,1), (1.7,0), (1.85,1), (1.6,0), (1.7,0),
(1.8,1), (1.95,1), (1.9,1), 1.8,1), (1.75.1).
6. Briefly describe these approaches in clustering with example in each case. (9)
(i) Partitioning methods http.//www.ktuonline.com

(ii) Hierarchical methods.

PART C
tall. The trainin | data for the classifier is «ven
7 1 below: 890 ಣಾ
Name Gender | Height Output
Kristina ‏مد‎ | 6m Short
∙ Tall
Jim
⋅ 1.9 ⋅
Maggie m Medium
1.88 $
Martha m Medium
Stephanie 1.7m Short
Bob 1.85 .
0 m Medium
Kathy 1.6m Short
1.
Dave "0 Short
Worth 2.2m ‏او‎
‎Steven 2.1m Tall
Debbie Medium
1.8m
Todd 1.95m Medium