statistics - Global closest fit calculation of missing value -

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i trying understand calculation of global closest fit method calculate missing attribute value. trying understand example shown here on page 10, chapter: 2.8 global closest fit

i understand how did computed distance example between case 1 , 3 shown in th table 1.10

i grateful human-like explanation :).

the distance between 2 cases sum of distances between attributes. cases have 3 attributes: temperature, headache, , nausea. compare them 1 one:

temperature

| case 1 | case 3 | | high   | ?      |

distance = 1.

reason: 1 of cases has ?, falls under condition 2 of distance(xi, yi) formula ("xi = ? or yi = ?").

headache

| case 1 | case 3 | |--------|--------| | ?      | no     |

distance = 1.

reason: 1 of cases has ? again.

nausea

| case 1 | case 3 | |--------|--------| | no     | no     |

distance = 0

reason: both same, falls under condition 1 ("xi = yi")

conclusion

| attribute   | case 1 | case 3 | distance | |-------------|--------|--------|----------| | temperature | high   | ?      | 1        | | headache    | ?      | no     | 1        | | nausea      | no     | no     | 0        | |-------------|--------|--------|----------| | total       |        |        | 2        |

distance = 2

reason: sum distances between attributes, according formula @ top of page 10.


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