yes
yes
no
yes
2mouse
This is a Template course for Meta-data XML
1.Prototype Classification Methods
2.Types of Prototype Methods
3.Prototypes thru Clustering
4.Clustering Objectives
5.Objectives (cnt・d)
6.K-Means Clustering
7.The Algorithm
8.Justification
9.Exercise:
10.Fuzzy c-Means Clustering
11.Crisp vs. Fuzzy Membership
12.Fuzzy c-means (FCM)
11.Crisp vs. Fuzzy Membership
10.Fuzzy c-Means Clustering
9.Exercise:
8.Justification
9.Exercise:
10.Fuzzy c-Means Clustering
11.Crisp vs. Fuzzy Membership
12.Fuzzy c-means (FCM)
13.FCM (Cnt・d)
12.Fuzzy c-means (FCM)
13.FCM (Cnt・d)
12.Fuzzy c-means (FCM)
11.Crisp vs. Fuzzy Membership
12.Fuzzy c-means (FCM)
13.FCM (Cnt・d)
14.FCM (Cnt・d)
15.FCM (Cnt・d)
16.FCM (Cnt・d)
17.FCM (Cnt・d)
18.FCM (Cnt・d)
17.FCM (Cnt・d)
18.FCM (Cnt・d)
19.FCM (Cnt・d)
20.FCM (Cnt・d)
21.K-means vs. Fuzzy c-means
20.FCM (Cnt・d)
21.K-means vs. Fuzzy c-means
22.K-means vs. Fuzzy c-means
23.slide 23
24.What Is Given
23.slide 23
24.What Is Given
25.Incomplete vs. Complete Data
26.EM Algorithm
27.E-M Steps
28.Justification
29.Justification (Cnt・d)
30.Details of EM Algorithm
31.Details (Cnt・d)
32.Details (Cnt・d)
33.Details (Cnt・d)
32.Details (Cnt・d)
33.Details (Cnt・d)
34.Exercise:
33.Details (Cnt・d)
32.Details (Cnt・d)
33.Details (Cnt・d)
34.Exercise:
35.Gaussian Mixtures
36.Gaussian Mixtures (Cnt・d)
37.Gaussian Mixtures (Cnt・d)
38.Gaussian Mixtures (Cnt・d)
39.slide 39
40.Illustration
41.Definitions
40.Illustration
41.Definitions
42.Scatter Matrices
41.Definitions
42.Scatter Matrices
43.Multiple Discriminant Analysis
44.Multiple Discriminant Analysis (Cnt・d)
43.Multiple Discriminant Analysis
42.Scatter Matrices
41.Definitions
40.Illustration
41.Definitions
42.Scatter Matrices
43.Multiple Discriminant Analysis
44.Multiple Discriminant Analysis (Cnt・d)
43.Multiple Discriminant Analysis
44.Multiple Discriminant Analysis (Cnt・d)
45.Multiple Discriminant Analysis (Cnt・d)
44.Multiple Discriminant Analysis (Cnt・d)
45.Multiple Discriminant Analysis (Cnt・d)
46.LDA Prototypes
47.slide 47
48.K-NN Classifier
49.slide 49
50.LVQ Algorithm
49.slide 49
48.K-NN Classifier
49.slide 49
50.LVQ Algorithm
51.References