Computational Intelligence and Neuroscience

Research Article

Using Self-Organizing Neural Network Map Combined with Ward’s Clustering Algorithm for Visualization of Students’ Cognitive Structural Models about Aliveness Concept

Table 9

Inputs data for training the SOM-Ward Model.


Students	Monera, protists, and funguses	Plants	Invertebrates	Fishes	Amphibians	Reptiles	Birds	Wild mammals	Domestic mammals	Human
Students

S₁	0	0	0	0	0	3	8	4.67	9.5	5
S₂	0	3.5	0	0	0	0	0	3.5	9	7
S₃	0	0	0	0	0	6.33	9	7	4	0
S₄	0	0	2.5	9	0	0	3	5.6	0	10
S₅	0	0	0	0	0	0	0	0	0	5.5
S₆	6	5	3	0	0	0	0	1.5	8.5	4
S₇	0	0	3	0	0	0	0	5.25	6.2	0
S₈	9.5	0	0	0	0	0	2	3.75	5	8
S₉	0	0	0	0	0	5.33	8	1.5	7	0
S₁₀	0	0	0	0	0	4.5	0	8	2.5	0
S₁₁	0	0	0	0	0	0	1	2	0	6.5
S₁₂	0	2	3	10	0	4	9	1	6.67	6
S₁₃	0	0	0	1	0	0	0	4.5	7.2	0
S₁₄	0	0	0	9	4	3	10	4.33	7.5	0
S₁₅	0	0	8	9	0	0	6	3	7	10
S₁₆	0	5	8	9	0	2	7	0	0	10
S₁₇	0	4.33	6	5	0	0	0	0	0	7
S₁₈	0	0	5.33	0	0	4	0	8.5	4.5	0
S₁₉	0	6	5	0	0	0	0	3.75	7.5	7
S₂₀	3.5	0	5.5	0	0	0	8	4.5	0	10
S₂₁	0	0	0	0	0	0	3	5.6	7.67	1
S₂₂	0	4	0	0	0	2	0	4.75	6.67	10
S₂₃	0	0	1.5	0	0	0	4	7	6.33	8
S₂₄	1	10	9	0	0	0	2	7.5	5	3
S₂₅	0	8	0	5	0	0	2.5	6	2.5	10
S₂₆	7	1.5	10	3	0	8	4	6	0	0
S₂₇	0	0	0	0	0	3	0	4.67	6.25	10
S₂₈	7	0	0	0	3	4	8	2	1	0
S₂₉	5.5	3	0	0	0	10	9	8	0	0
S₃₀	0	4	0	3	0	0	0	7	8	1.5
S₃₁	6	7	3	0	0	0	0	7	0	10
S₃₂	0	0	7	0	0	0	9.5	8	0	4
S₃₃	6	4.5	1	0	0	9.5	0	3	4.5	8
S₃₄	0	5.5	0	0	0	0	7	0	5.29	0
S₃₅	0	5.5	0	7	0	0	8	3	6.5	10
S₃₆	0	0	0	0	0	0	0	0	5	5.56
S₃₇	0	6	8	0	0	3	4	2	6.67	0
S₃₈	0	1.5	0	0	0	5	0	6.33	7.67	0
S₃₉	0	7	0	0	0	0	10	4	2.5	0
S₄₀	1.5	0	0	0	0	5.5	0	9	4.67	9
S₄₁	6.25	9	0	0	0	0	0	7	0	8
S₄₂	7	5.5	3	0	0	9	5	0	0	0
S₄₃	0	10	1	0	0	2	7.5	6	6	3
S₄₄	0	0	9	0	0	3	10	4.5	5.5	2
S₄₅	0	0	5.5	0	0	2.5	7	8	6	2
S₄₆	0	0	0	0	4	3	7	9	4.4	10
S₄₇	0	3.67	0	0	0	0	6	4.33	9.5	0
S₄₈	0	8	0	0	0	6	3	4.83	0	9
S₄₉	6	9	0	0	0	0	4	2.5	4.5	10
S₅₀	0	4.67	0	0	0	0	0	4.75	7	8
S₅₁	0	6.5	0	0	0	0	4	7.33	4	0
S₅₂	0	2	0	0	5	0	0	5.67	8.5	10
S₅₃	0	0	4.6	0	7	0	1	0	5	9
S₅₄	0	0	2.5	2	0	7.5	3	8.33	5	0
S₅₅	0	5.33	4.33	0	0	0	6	0	5.5	9
S₅₆	0	9	0	0	0	0	2.33	3	6	9
S₅₇	0	9	0	0	0	1	4	4.33	6	10
S₅₈	0	0	0	7	4	6	10	2.5	7.33	1
S₅₉	0	0	6	2	7	1	8	4	9.5	0
S₆₀	0	0	5.5	4	0	1	8	2.5	9.5	7
S₆₁	0	0	1	0	0	5.5	0	6.33	4.67	10
S₆₂	0	5	10	2	0	4	3	0	7.67	4
S₆₃	0	0	2.5	6	0	0	8	3.33	8.67	0
S₆₄	10	7	2	0	8	0	0	5	9	0
S₆₅	1.5	5.75	4	0	0	0	0	0	9	7
S₆₆	0	2	0	0	0	0	4	7	8	7
S₆₇	0	4	4	0	2	6.5	6	0	10	0
S₆₈	0	5.5	0	1	0	4	0	5.5	7	10
S₆₉	0	4	0	4	0	3	7	0	9	5.5
S₇₀	0	7	0	9	0	4.5	3.5	0	7	2
S₇₁	0	0	0	10	0	6.5	1.5	5	9	0
S₇₂	0	0	0	8	0	2	6	6.5	2	9
S₇₃	0	0	2	0	0	8	3	7.4	2.5	0
S₇₄	0	7	1.5	0	0	0	6	4	8.5	10
S₇₅	0	4.25	0	0	0	3	6	0	8.33	4
S₇₆	0	0	0	5	0	2	6	5.4	7.5	0
S₇₇	0	0	2.5	9	1	0	0	7.5	6.25	0
S₇₈	1	0	0	10	9	6	5	5.67	3.5	0
S₇₉	0	1.5	3.5	5	0	0	7	0	7.67	10
S₈₀	1	2	0	0	3	0	0	4.5	7.5	10
S₈₁	4.5	1	2	0	0	6	6	9.5	0	0
S₈₂	0	7	2	0	0	8	1	4.5	6	10
S₈₃	0	8	0	0	0	0	0	5.5	4.67	5.67
S₈₄	0	7	9	0	0	3.5	0	1.5	7.25	0
S₈₅	0	0	0	0	0	0	3	7.33	1.5	5
S₈₆	8.34	3	1	0	0	0	0	5	7.5	0
S₈₇	9	0	8	2	0	0	0	5	1	10
S₈₈	6	4	0	1	0	0	6	5	9	0
S₈₉	7	5.33	6	0	2	0	3	5	10	0
S₉₀	6	0	3.33	0	0	3	5	7	8.5	0
S₉₁	0	7	10	8	0	2	9	3.33	5	4
S₉₂	0	9	6.67	7	0	1	6.5	3	0	2
S₉₃	5.6	0	3	0	0	0	6	4.5	9	0
S₉₄	7	0	8	0	0	1	6	6.25	0	3
S₉₅	6	9	1	0	0	10	7	2.5	8	5
S₉₆	5.25	8	4	0	5	3	0	6	0	0
S₉₇	6	0	0	6	0	0	0	1.5	10	3
S₉₈	0	2	6.5	0	0	5	2	6	9	10
S₉₉	5.5	8	0	6	0	5	0	1.5	9.5	3
S₁₀₀	0	1.5	3	4	0	0	6.5	6.5	9	10