Answer:
Chernoff faces.
Explanation:
Chernoff faces is a data visualization technique that was developed by a statistician named Herman Chernoff. He introduced this data visualization technique to the world in 1973 to represent multivariate or multidimensional data containing at least eighteen (18) variables.
In Chernoff faces, each attribute is associated with a specific feature of a face (nose, eyes, ears, hair, mouth, and eyebrows), and the attribute value with respect to size, shape, orientation, colour and placement is used to determine the way a facial feature is expressed.
The Chernoff face is a technique designed and developed to help detect similarities between different items and discern subtle changes in facial expressions from the perspective of an observer.
Airbags expand
D. 200 mph
Answer:
It's a method used in science to ask questions, research, observe, hypothesize, experiment, analyze data, and make conclusions.
Explanation:
Answer:
Using Merge Sort.
Explanation:
Merge Sort is preferred for sorting the linked list because the the data stored in linked list is not in serial memory address which makes the quick sort algorithm very slow and other sorting algorithms impossible.
Merge Sort is a divide and conquer algorithm.
In this algorithms we divide the linked list into sub parts and sort the sub parts of the linked list and then we merge them in sorted order. It is a very effective approach for linked list sorting.
The time complexity of merge sort is O(NLogN).
Answer:
A.
Explanation:
A. It's the total number of pixels in an image obtained by multiplying the dimensions (height times width). For large images, this multiplication can be in the millions (=mega), hence the term mega pixels.
