Hands-On Data Science with Anaconda

Review questions and exercises

1. What does unsupervised learning mean?
2. What is the major difference between unsupervised learning and supervised learning?
3. How do we install the Python package sklearn?
4. Discuss the relationship between distance and clustering classification.
5. How do we define the distance between two objects?
6. For non-numeric values, how do we define a distance between two members?
7. For R, we could find a set of related packages related to unsupervised learning called cluster. Is there any task view, or similar super package, for Python?
8. First, generate the following set of random numbers:

>set.seed(12345) 
>n=30 
>nGroup=4 
>x <- matrix(rnorm(n*nGroup),nrow =nGroup) 

Then, based on the various definitions of distance, estimate the ...