There is only a slight difference between discrimination and classification in data mining. Discrimination can be negative and classification is generally just factual.
I've been looking for this aswer about a few months, and nothing! Researching on it, I believe that both are same. But, with only one markable difference: clustering is a type of unsupervised learning, and classification is a type of supervised learning. I believe that it is the only difference, and, of course, this dictates the way that the algorithm starts. But the results are essentially similar: grouped data.Good luck in your question. I hope I've helped!
what is the difference between license and patent
what is the difference between an assembler and the translator
What is difference between hvac and ahu
no difference
difference between knowledge classification and book classification?
Discrimination is the difference between any matters, not necessarily races.
Difference between family and order
Oppression is using power in an unfair way. Discrimination is distinguishing between people based on stereotypes of the groups that they belong to.
Discrimination means any sort of discrimination like caste, creed, sex, colour, origin, etc.. Racism means discrimination of race that is of the origin.
It takes discrimination to tell the difference between a good wine and just an expensive wine.
data classification in statistics
In what way do you mean classification? Scientific names or the actual difference between their anatomy?
Modern classification is based on evolutionary relationships between organisms while traditional classification is not.
Classification is sorting out things due to scientific process. Partition is eminent domain.
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