One of the most often used methods of linear dimension reduction is principal component analysis (PCA). It can be used both on its own and as a starting point for further dimension reduction techniques.
By projecting the data onto a set of orthogonal axes, the projection-based PCA approach changes the data. An unsupervised linear transformation method known as Principal Component Analysis (PCA) is frequently utilized in a variety of domains, most notably for feature extraction and dimensionality reduction. Data compression, made possible by dimensionality reduction, results in less storage space being used. It speeds up computation. It also aids in removing any extraneous features. Since PCA is a variance-maximizing activity, normalization is crucial. our original data is projected in a manner that maximizes variance.
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Answer:
First I/O instruction format -> 256 ports
Second I/O instruction format -> 65536 ports
Explanation:
- For the first instruction format, we have eight bits for port addressing, therefore, the number of port addressed can be calculated as 2^8 = 256 ports
- For the second instruction format, we have sixteen bits for addressing, therefore, the number of ports addressed can be calculated as 2^16 = 65536 ports
The opcode selection allows us to change between the first and second instruction format, an opcode allows one input or output operation at a time.
Answer:
Knowledge of hazardous workspace conditions
Answer:
False
Explanation:
The private member of a class is not accessible by using the Dot notation ,however the private member are those which are not accessible inside the class they are accessible outside the class .The public member are accessible inside the class so they are accessible by using the dot operator .
<u>Following are the example is given below in C++ Language </u>
#include<iostream> // header file
using namespace std;
class Rectangle
{
private:
double r; // private member
public:
double area()
{ return 3.14*r*r;
}
};
int main()
{
Rectangle r1;// creating the object
r1.r = 3.5;
double t= r1.area(); // calling
cout<<" Area is:"<<t;
return 0;
}
Output:
compile time error is generated
<u>The correct program to access the private member of class is given below </u>
#include<iostream> // header file
using namespace std;
class Rectangle
{
private:
double r; // private member
public:
double area()
{
r1=r;
double t2=3.14*r2*r2;
return(t2); // return the value
}
};
int main()
{
Rectangle r1;// creating the object
r1.r = 1.5;
double t= r1.area(); // calling
cout<<" Area is:"<<t;
return 0;
}
Therefore the given statement is False