Algorithm 1 Data Normalization with Min-Max Approach

BEGIN

Input: Data value K, Minimum acceptable value Kmin, Maximum acceptable value Kmax

Output: Normalized data value Knorm

1. Define normalization range (0 to 1)

2. Define boundaries for Kmin and Kmax

3. Check if (Kmin == Kmax ∥ Kmax < Kmin

● Go back to step 2 and continue

4. For each K,

● $K_{\mathrm{norm}}=\frac{K-K_{\min }}{K_{\max }-K_{\min }}$

● If (0 ≤ Knorm ≤ 1)

Add K to initial dataset for analysis

● Else

Discard K value

END