SUPUNSA POJANASIN 55102011026 SC32B

การวิ�เคราะห์ข้�อมู�ลด้�วิยWEKA

Clustering เตรี�ยมข้�อมลก่ อนที่��จะน��ไปที่��ก่�รี clustering

Cluster เล�อก่ SimpleKMeans

Clustering

ก่��หนด numClusters = 2

Clustering

ก่��หนด numClusters = 3

Clustering

ก่��หนด numClusters = 4

Clustering

ก่��หนด numClusters = 5

Clustering

ก่��หนด numClusters = 6

Clustering

ก่��หนด numClusters = 7

Clustering

ก่��หนด numClusters = 8

Clustering

ก่��หนด numClusters = 9

Clustering

ก่��หนด numClusters = 10

ClusteringKnee Curve ที่��จ�ดที่�� 5

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Chart Title

Association Rule โด้ยใช้� Apriory

Association Rule

Association Rule

Best rules found:

1. Ice-Cream=t 42 ==> Water=t 42 <conf:(1)>lift:(2.56) lev:(0.2) [25] conv:(25.59) 2. Ice-Cream=t Sandwich=t 36 ==> Water=t 36 <conf:(1)> lift:(2.56) lev:(0.17) [21] conv:(21.94) 3. Milk=t Ice-Cream=t 26 ==> Water=t 26 <conf:(1)> lift:(2.56) lev:(0.12) [15] conv:(15.84) 4. Milk=t Ice-Cream=t Sandwich=t 23 ==> Water=t 23 <conf:(1)> lift:(2.56) lev:(0.11) [14] conv:(14.02) 5. TissuePaper=t Sandwich=t 14 ==> Water=t 14 <conf:(1)> lift:(2.56) lev:(0.07) [8] conv:(8.53) 6. Milk=t Sandwich=t 27 ==> Water=t 26 <conf:(0.96)> lift:(2.47) lev:(0.12) [15] conv:(8.23) 7. MoneyCard=t 25 ==> Bread=t 23 <conf:(0.92)> lift:(3.27) lev:(0.12) [15] conv:(5.99) 8. Sandwich=t 45 ==> Water=t 41 <conf:(0.91)> lift:(2.33) lev:(0.18) [23] conv:(5.48)

Classification : Income (Daily,Month)tranningTime= 500

Classification : Income (Daily,Month)tranningTime= 500 โดยใช้�วิ�ธี� MultiLayerperceptron

Classification : Income (Daily,Month)tranningTime= 500

Classification : Income (Daily,Month)tranningTime= 200

Classification : Income (Daily,Month)tranningTime= 200

Classification : Income (Daily,Month)tranningTime= 200