[MATLAB] Klasifikasi dengan k-Nearest Neighbor

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[MATLAB] Klasifikasi dengan k-Nearest Neighbor

oraculat

12-10-2012 06:02

[MATLAB] Klasifikasi dengan k-Nearest Neighbor

langsung aje yee...

ane pgen klasifikasi data sampel yang jumlahnya satu, dengan dibandingin dengan banyak data training yang udah dilabelin kelasnya

kalo baca di Help'nya matlab atau di mathwork.com, syntaxnya begini

Code:



[I]Class = knnclassify(Sample, Training, Group)[/I]

dan berikut contoh codingnya

Code:



sample = [.9 .8;.1 .3;.2 .6]

training=[0 0;.5 .5;1 1]

group = [1;2;3]

class = knnclassify(sample, training, group)

hasilnya
sample =
0.9000 0.8000
0.1000 0.3000
0.2000 0.6000

training =
0 0
0.5000 0.5000
1.0000 1.0000

group =
1
2
3

class =
3
1
2

dimana

Quote:

Row 1 of sample is closest to row 3 of training, so class(1) = 3. Row 2 of sample is closest to row 1 of training, so class(2) = 1. Row 3 of sample is closest to row 2 of training, so class(3) = 2.

dimana jumlah baris data training dan sampel harus sama, nah ane pan pgen cuman pake satu data sampel tuh dengan banyak data training, gmn ya caranya?

ang udah jawab thanks.. emoticon-Angkat Beer