Data Mining Exercise 7

Min-Max Normalization - Scaling data to a new range

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Data Mining Exercise 7

For this problem, it is doing Min-Max Normalization. Let's see the answer with a detailed step-by-step method.


Answer

✅ Solution

The new value is 3


Step-by-Step Method

Min-Max Normalization Formula

v′=v−min⁡oldmax⁡old−min⁡old×(max⁡new−min⁡new)+min⁡newv' = \frac{v - \min_{old}}{\max_{old} - \min_{old}} \times (\max_{new} - \min_{new}) + \min_{new}

1. Define variables from the problem

v(Old value)=600v (\text{Old value}) = 600

min⁡old(Old min)=200\min_{old} (\text{Old min}) = 200

max⁡old(Old max)=1,000\max_{old} (\text{Old max}) = 1,000

min⁡new(New min)=1\min_{new} (\text{New min}) = 1

max⁡new(New max)=5\max_{new} (\text{New max}) = 5

2. Substitute into the formula

v′=600−2001000−200×(5−1)+1v' = \frac{600 - 200}{1000 - 200} \times (5 - 1) + 1

3. Calculate part by part

First part (Find the proportion position):

400800=0.5\frac{400}{800} = 0.5

💡 Meaning

Means 600 is exactly in the middle between 200 and 1000.

Second part (Scale to the new range):

0.5×4=20.5 \times 4 = 2

Third part (Add the new starting value):

2+1=32 + 1 = \mathbf{3}


Intuitive Check

If you don't want to memorize the formula, try imagining a number line:

📊 Visual thinking

Old range: 200 to 1,000 (Distance 800)

  • Value 600 is exactly the midpoint (200+400=600200 + 400 = 600)

New range: 1 to 5 (Distance 4)

  • The midpoint of 1 to 5 is exactly 3 (1+2=31 + 2 = 3)

Conclusion

✅ Answer

The answer is definitely 3.

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