Department of Computer Science

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0 votes	Given the following data for employees, Find the most suited employee to replace Ahmed considering all features Age Experience Weight (grams) Ahmed 34 6 89,000 Ali 33 5 60,000 Tarek 50 2 90,000
	Asked on 19:37, Thursday 31 Oct 2019 By Imed BOUCHRIKA In Apprentissage automatique II

Answers (8)

Answer (1)

1 votes

Firstly we should normalize the data using this formula

normalized_value = (current_value - min_value) / (max_value - max_value)

So the data will be:

Age Experience Weight(Grams)

Ahmed 0.05 1 0.96

Ali 0 0.75 0

Tarek 1 0 1

Now we calculate the euclidean distance between (Ahmed,Ali) and (Ahmed,Tarek):

D(Ahmed,Ali) = 0.993

D(Ahmed,Tarek) = 1.37

So the most suited employee to replace Ahmed is Ali

Answered on 23:30, Thursday 31 Oct 2019 by abdennour redjaibia (282 points)
In Apprentissage automatique II

Answer (1)

0 votes	il is Ali
	Answered on 23:24, Thursday 31 Oct 2019 by Ouahiba HANDEL In Apprentissage automatique II

Answer (2)

-1 votes

1- Normalize the data,Apply the following formula :

_{Xnew =}(x - X_min) / (X_max- X_min).

So, the data will be as follows:

Age Experience Weight (grams)
Ahmed 0.05 1 0.96
Ali 0 0.75 0
Tarek 1 0 1

2- calculate the Euclidean distance between employees:

D(Ahmed , Ali)= √ ((0.05 − 0 )2 + (1 − 0.75 )2+(0.96 − 0 )2 )= 0.99
D(Ahmed , Tarek)=√ ((0.05 − 1 )2 + (1 − 0 )2+(0.96 − 1 )2) = 1.37

So,the most suited employee to replace Ahmed is ALI.

Answered on 20:56, Friday 1 Nov 2019 by Mouhamed Salah Benkhalfallah (14 points)
In Apprentissage automatique II

Answer (3)

0 votes

Normalize the data :

Age   Experience    Weight (grams)
Ahmed      0.05 1 0.96
Ali                 0      0.75 0
Tarek             1          0 1

Calculate the Euclidean distance between:

- (Ahmed,Ali)=> D(Ahmed,Ali)=√((0.05 - 0)^² + (1 - 0.75)^² + (0.96 - 0)^²)=0.99

- (Ahmed,Tarek)=>D(Ahmed,Tarek)=√((0.05 - 1)^² + (1 - 0)^² + (0.96 - 1)^²)=1.37

=> Therefore, the most suited employee to replace Ahmed is : ALI .

Answered on 21:44, Saturday 2 Nov 2019 by Fateh Benkhalfallah (6 points)
In Apprentissage automatique II

Answer (4)

0 votes	normalize the data: _{X =}(x - X_min) / (X_max- X_min) exp:(34-33)/(50-33)=1/17=0.05 age expiri weight(g) ahmed 0.05 1 0.96 ali 0 0.75 0 tarek 1 0 1 Calculate the Euclidean distance between employes: D(Ahmed,Ali)=√((0.05 - 0)^² + (1 - 0.75)^² + (0.96 - 0)^²)=0.99 D(Ahmed,Tarek)=1.37 //The most suited employee to replace Ahmed is: ali
	Answered on 19:05, Wednesday 6 Nov 2019 by In Apprentissage automatique II

Answer (5)

0 votes	calculate the eclidean distance between(ahmed,ali)=0.99 and(ahmed,tarek)=1.37 the most suited employee to replace ahmed is: Ali
	Answered on 15:42, Friday 15 Nov 2019 by In Apprentissage automatique II

Answer (6)

0 votes

Age Experience Weight(Grams)

Ahmed 0.05 1 0.96

Ali 0 0.75 0

Tarek 1 0 1

distance between ahmed and ali :

"normalized_value = (current_value - min_value) / (max_value - max_value)"

distance eucludienne :0.995

distance between ahmed and tarek : 1.372

Answered on 19:40, Monday 16 Dec 2019 by
In Apprentissage automatique II

Answer (7)

0 votes

Age Experience Weight(Grams)

Ahmed 0.05 1 0.96

Ali 0 0.75 0

Tarek 1 0 1

distance between ahmed and ali :

"normalized_value = (current_value - min_value) / (max_value - max_value)"

distance eucludienne :0.995

distance between ahmed and tarek : 1.372

Answered on 19:40, Monday 16 Dec 2019 by
In Apprentissage automatique II