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how to generate the minimum distance in this function

this function classify the elements of a list into clusters .the elements of eatch cluster the distance between theme is <= (max(distance)+min(disatnce))/2 , distance is a list of distances between one element and all the rest of theme. i want to generate this criteria inside the function because in this function the minimum distance is given by me.

the data :

PLAYER,Mat.x,Inns.x,NO,Runs.x,HS,Avg.x,BF,SR.x
AB de Villiers,12,11,2,480,90,53.33,275,174.54
Quinton de Kock,8,8,0,201,53,25.12,162,124.07
Ankit Sharma,0,0,0,0,0,0,0,0
Anureet Singh,0,0,0,0,0,0,0,0

def clustering(groups, min_dist, data, i):
    distance = []
    for g in range(0,len(groups)):
        somme = 0
        # jusqu'a la fin des nombre de colomne
        for j in range(0,len(list(data.iloc[i, :]))):
                  # difference between the 1st elt in the cluster and the elts not yet clustered
            diff = dif(groups[g][0][j], data.iloc[i, j])
            somme = somme+diff
    distance.append(somme)
    for d in range(len(distance)):
       
       if distance[d] <= min_dist:
         groups[distance.index(distance[d])].append(
            list(data.iloc[i, :]))             # we just add who respects the criterion
       else:
         group = []
         # else on le met dans un nouveau cluster
         group.append(list(data.iloc[i, :]))
         groups.append(group)

    return groups


source https://stackoverflow.com/questions/74550880/how-to-generate-the-minimum-distance-in-this-function
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