Question

Q:2. In Unsupervised Learning, the incorrect statements
are:
1. It organize data by similarity.
2. Input data know about results
3.
It can solve problem of dimension reduction.
4.
None of the above​

Answer 1

Answer:1

Explanation:

Answer 2

The incorrect statement about unsupervised learning is that it organize data by similarity. Thus, in the given question, the correct answer is option 1.

First we need to know about supervised and unsupervised learning?

In supervised learning, the machine is trained using the data which is already labelled or structured. In unsupervised learning, there is need to supervise the model as machine is not trained.

Some points given below will make us more clear about the correct and incorrect statements of unsupervised learning:

• Unsupervised learning is used to find unknown patterns in data.
• The input data is analyzed in real time frame in this type of learning.
• Dimension reduction is used in unsupervised learning to reduce number of input variables before supervised steps.