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What is it called when compression data some of the data is lost yet can represent the original close enough?
When compressed data that is subsequently decompressed does not exactly match the original, yet it is considered close enough to the original to be usable, that algorithm is called a lossy compression. Contrast that with lossless compression, where the decompressed version exactly matches the original. Lossy compression is useful in audio and video, where exactness is not critical, while lossless compression is useful in data streams that must be preserved exactly. The lossy compression algorithm often results in more compact compressed results.
Is there a way algorithm to encrypt more numbers in one number and can decrypt?
Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.
Why is the mean a measure of the center of the data?
mean does not mean the center of the data
What do you mean by data assembly?
what do you mean by data assembly?
Find the mean of the data?
The mean of a set of data is the sum of that data divided by the number of items of data.
