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Clustering with Minitab
Soft Computing Lab
Yonsei Univ.
S FT COMPUTING @ YONSEI UNIV . KOREA 16
1. http://sclab.yonsei.ac.kr/Dataset.zip
2. http://sclab.yonsei.ac.kr/ -> Courses -> Special lecture -> ->
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http://sclab.yonsei.ac.kr/Dataset.ziphttp://sclab.yonsei.ac.kr/
S FT COMPUTING @ YONSEI UNIV . KOREA 16
: 22
: 8
(sales) (fuel cost)
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Fixed_charge: (/)
RoR:
Cost:
Load_factor:
Demand_growth: 1974 1975 (kwh) (%)
Sales: (kwh/)
Nuclear: (%)
Fuel Cost: (cents/kwh)
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S FT COMPUTING @ YONSEI UNIV . KOREA 16
->()->Y: , X: Sales
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Click
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2~3
,
,
,
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(Hierarchical methods)
: n
:
(Nonhierarchical methods)
K-
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()
(scale)
(-)/
->
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Click
Click
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()
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()
?
?
(, , ) ?
?
( )
( )
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:
:
:
McQuitty:
:
:
Ward: ,
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2
-> ->
:
:
,
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( )
-> ->
: , : Euclid, : 1
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Click
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( )
-> ->
15
Click
S FT COMPUTING @ YONSEI UNIV . KOREA 16
( )
-> ->
-> : C18
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Click
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( )
C18
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( )
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( )
(2 )
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( )
(3 )
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( )
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( )
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:
(, , )
a B
B
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,
,
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(k- )
( )
k-
k
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S FT COMPUTING @ YONSEI UNIV . KOREA 16
(k- )
-> ->K-
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Click
Click
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(k- )
( ), : 6
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(k- )
( ), : 6
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:
77 , ,
. .
.
. ? ?
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S FT COMPUTING @ YONSEI UNIV . KOREA 16
:
. .
-> ->, , 4~6
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Click Click
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:
: , : 5
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: 1
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:
: , : 5
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:
: , : 6
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: 1
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:
: , : 6
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S FT COMPUTING @ YONSEI UNIV . KOREA 16
:
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:
( )
( )
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:
. ? ?
.
: mg g
.
: (protein, fat, sodium, sugar)
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:
-> ->
(protein, fat, sodium, fiber), , 3
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Click Click
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:
protein fat fiver 1
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:
100%_Bran, All-Bran, All-Bran_with_Extra_Fiber
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Click
Click
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Wine
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Wine
13
Alcohol :
Malic Acid :
Ash :
Alkalinity of ash :
Magnesium :
Total phenols :
Flavanoids :
Nonflavanoid phenols
Proanthocyanins :
Color intensity :
Hue :
OD280/OD315 of diluted wines
Proline :
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Wine
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1. Wine 2 . ( : )
2. 1 Wine 2 .
3. K- 2 .
4. 3 .
5. .
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Wine
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1 ()
Wine
[]->[ ] Wine.xls
[]->[ ]->[ ]
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Wine
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1 ()
2
:
C15, C16
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Wine
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1
1(PC1) C15 2(PC2) C16
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Wine
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2 ()
[]->[]
X, Y PCA
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Wine
1 2
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2
PC1 PC2
2~3
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Wine
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3 ()
[]->[ ]->[K- ]
2 ,
c17
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Wine
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3 ()
C15
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Wine
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3 ()
[]->[]
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Wine
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3
[] C17
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Wine
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4 ()
[]->[ ]->[ ]
, , 4
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Wine
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4
3
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Wine
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5 ()
[]->[]
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Wine
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5 ()
C18-C30
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Wine
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5 ()
: []->[ ]
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Wine
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5 ()
, , Cluster
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Wine
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5
e.g. 1 2 15
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Wine
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.
Euclid, Manhattan, Pearson, Euclid , Pearson
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Wine
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IRIS
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Iris
3 (Setosa, Versicolour, Virginica)
Sepal length (cm ) :
Sepal width (cm ) :
Petal length (cm ) :
Petal width (cm ) :
Species : (setosa / versicolor / virginica)
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Iris
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1. Iris . ( )
2. K- .
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Iris
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1
1. Iris . ( )
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Iris
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2
2. K- .
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Iris
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Boston House
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BostonHousing
CRIM : (town) 1
ZN : 25,000
INDUS :
CHAS : ( 1, 0)
NOX : 10ppm
RM : 1
AGE : 1940
DIS : 5
RAD :
TAX : 10,000
PTRATIO : /
B : 1000(Bk-0.63)^2 (Bk )
LSTAT : (%)
MEDV : () ( : $1,000)
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BostonHousing
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1. BostonHousing RM MEDV .
2. K- RM MEDV .
3. 2 .
4. Manhattan Pearson 4 .
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BostonHousing
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1
1. BostonHousing RM MEDV .
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BostonHousing
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2
2. K- RM MEDV .
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BostonHousing
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3
3. 2 .
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BostonHousing
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4
4. 4 .
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BostonHousing
Manhattan Pearson
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.mtw : 143
,
,
,
: 143 , ,
: 2, 78, 15 . (1=, 2=, 3=)
K- , .
75
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76
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.
2 =1, 78=2, 15=3
77
0 .
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K-
78
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K-
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K-
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-
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-
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1: .
2:
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1
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2
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K- vs
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Telco-CAT (2001)
: ID , ,
: Churn(), Tariff(), Tariff_OK( )
: Peak( ), Off-Peak( ), Weekend( ) , International( )
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S FT COMPUTING @ YONSEI UNIV . KOREA 16
1. (Behavior) . 8 .
Customer_ID( ID), Peak_calls_Sum ( )
AvePeak ( (), 1)
OffPeak_calls_Sum ( )
AveOffPeak ( (), 1)
Weekend_calls_Sum ( )
AveWeekend( (), 1)
International_min_Sum ( ())
2. .
(AvePeak, AveOffPeak, AveWeekend )
3. 2 .
4. K-means 2 .( )
5. K-means 3, 4 . ( )
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10%
10~20%
Hot deck cast substitution
Regression
Model-based methods
20%
Egression
Model-based method
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1
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1
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2
()
International_mins_Sum = 3237
= 3196
= 41
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International_mins_Sum = 168.799
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->
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1. (Behavior) . 8 .( )
Customer_ID( ID)
Peak_calls_Sum ( )
AvePeak ( (), 1)
OffPeak_calls_Sum ( )
AveOffPeak ( (), 1)
Weekend_calls_Sum ( )
AveWeekend( (), 1)
International_min_Sum ( ())
2. .
3. 2 .
4. K-means 2 .( )
5. K-means 3, 4 . ( )
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1, 2
8
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3
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3
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4, 5
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4, 5
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