Answer:
Go to explaination for the step by step answer.
Explanation:
a)Code
function[y]=operation(x) % this function takes x as input and returns y as output
y=(-0.2*x^3+7*x^2)*exp(-0.3*x)
end
% call this function in command widow by typing operation(value of x) like shown in figure in the first attachment.
b. write a code of above function in one script window and save the code with same name as name of function that is name of script should be saved as operation.Now copy paste the below code in new script window and run the code
clc
clear all
x=-2:.1:6
n=length(x)
for i=1:1:n
a=x(i)
y(i)=operation(a)
end
plot(y,x)
xlabel('X')
ylabel('Y')
Please kindly check attachment for pictorial answers that supports the code.
Answer:
United States Department of Homeland Security
The National Cyber Security Division (NCSD) is a division of the Office of Cyber Security & Communications, within the United States Department of Homeland Security's Cybersecurity and Infrastructure Security Agency.
<em>Give</em><em> </em><em>me</em><em> </em><em>brainliest</em><em> </em>
K-means can be used for hierarchical clustering by creating a hierarchical tree structure. This is done by setting the number of clusters to be created, and then running the k-means clustering algorithm for each level of the tree. For each level, the clusters created are then combined to form the next level of the tree. This process is repeated until the desired number of clusters has been created.
<h3>The Use of K-Means Clustering for Hierarchical Clustering</h3>
K-means clustering is a popular technique used in machine learning and data mining for partitioning data into clusters. It is a flat clustering algorithm, in which data points are grouped according to their similarity. While k-means clustering is suitable for partitioning data into a fixed number of clusters, it can also be used for hierarchical clustering. Hierarchical clustering is a clustering technique that creates a hierarchical tree structure, where each level of the tree is made up of clusters created by the k-means clustering algorithm.
The process of creating a hierarchical tree structure using k-means clustering is fairly straightforward. First, the number of clusters to be created is set, and then the k-means clustering algorithm is run for each level of the tree. For each level, the clusters created are then combined to form the next level of the tree until the desired number of clusters has been created. This process ensures that the clusters created are meaningful and have similar characteristics.
Learn more about k-means :
brainly.com/question/17241662
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Answer: False
Explanation:
Unguided medium employs an antenna for transmitting through air or vacuum.
For guided mediums the transmission is in the form of twisted copper wires, shielded twisted copper wire and optical fibres. They henceforth do not depend upon antennas for transmission through air using antennas.
A Computer that supports 10/100/1000 Ethernet allows for 10,100,or 1000 gigabyte per second.
