Can someone please show me the solution to this problem? Thanks.
first, remember that this is a distance matrix showing the
"distance" between the species, this distance is a difference in
characters, that can be phenotypic or genetic among others.
Thas why S1 -S1 = 0, S2-S2 = 0 and so on, as they are at 0 distance
between themselves. Also, remember that you only need the data on
either side of the 0 diagonal so you can choose one side to
work
Now to know how to pair up the species, one way to start is looking for the closest related species:
S1 - S4 = 2
S3- S5 = 2
this means:
and now that you have paireded them yo can treat them as a single unit S1S4 and S3S5 now you check the distances to these groups, for example
S1 - S2 = 11
S4 - S2 = 2
you sum and take the average.
S1S4 - S2 = 13/2 = 6.5
and you do the same whit the rest: ( filling the rest
normally)
S1S4 | S2 | S3 | S5 | S6 | S7 | |
S1S4 | 0 | 6.5 | (18+18)/2 =18 | (19+20)/2=19.5 | (17+5)/2=11 | (3+4)/2 = 3.5 |
S2 | 0 | 17 | 18 | 19 | 10 | |
S3 | 0 | 2 | 4 | 17 | ||
S5 | 0 | 7 | 17 | |||
S6 | 0 | 21 | ||||
S7 | 0 |
once you are done whit S1S4, you add S3S5 in the same manner, (
in here you use the values of the previous table)
S1S4 - S6 =11
S1S4 - S3S5 = (18+19.5)/2 = 18.75
S1S4 | S3S5 | S2 | S6 | S7 | |
S1S4 | 0 | 18.75 | 6.5 | 11 | 3.5 |
S3S5 | 0 | 17.5 | 6.5 | 17 | |
S2 | 0 | 19 | 10 | ||
S6 | 0 | 21 | |||
S7 | 0 |
Now you can start linking again, knowing that the closest to S1S4 is S7
and again a new table. again using the previus one
S1S4S7 - S3S5 = (18.75 + 17)/2 = 17.875
S1S4S7 - S6 = (11 + 21)/2 = 16
S1S4S7 | S3S5 | S2 | S6 | |
S1S4S7 | 0 | 17.875 | 8.25 | 16 |
S3S5 | 0 | 17.5 | 6.5 | |
S2 | 0 | 19 | ||
S6 | 0 |
this suggests a new link between S3S5 to S6,
and again a new table. again using the previous one
S3S5S6 - S3S5S6= (17.875 + 16)/2 = 16.9
S1S4S7 | S3S5S6 | S2 | |
S1S4S7 | 0 | 16.9 | 8.25 |
S3S5S6 | 0 | 18.25 | |
S2 | 0 |
this suggests a new link between S1S4S7 to S2,
.
Can someone please show me the solution to this problem? Thanks. Given the distance matrix in...
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