Answer:
Step-by-step explanation:
We want to find the inverse of
To find the inverse matrix, augment it with the identity matrix and perform row operations trying to make the identity matrix to the left. Then to the right will be inverse matrix.
So, augment the matrix with identity matrix:
- Subtract row 1 multiplied by 4 from row 2
- Add row 1 multiplied by 4 to row 3
- Subtract row 2 multiplied by 2 from row 3
- Add row 3 multiplied by 2 to row 1
- Subtract row 3 multiplied by 11 from row 2
As can be seen, we have obtained the identity matrix to the left. So, we are done.
If she is only interested in creating a small number of clusters.The type of clustering method that would work best is: k-means clustering.
<h3>What is k-means clustering?</h3>
k-means clustering can be defined as a quantization techniques that is used to divide or seperate or data into number of groups in which each of the observation is linked to a prototype cluster or vectors.
Based on the given scenario k-means clustering method is the best choice as this will result in efficiency and make her work faster and easier.
Therefore the type of clustering method that would work best is: k-means clustering.
Learn more about k-means clustering here:brainly.com/question/17241662
Answer:
The second one.
Step-by-step explanation:
It's not a right triangle.
Answer:
Whole number
Step-by-step explanation:
Zero is; whole, an integer, a rational, and a real number. However 0 is not a counting/natural number.