Download presentation
Presentation is loading. Please wait.
1
What Visualization can do for Data Clustering?
Jianping Fan Dept of CS UNC-Charlotte
2
What visualization can do for data clustering?
Before Data Clustering After Data Clustering
3
Before Data Clustering
Provide intuitive observations of data distribution, discrimination of features, data similarity, data manifold, ……..
4
Before Data Clustering
Discrimination power of features Interactive Feature Selection
5
Before Data Clustering
Discrimination power of features Interactive Feature Selection
6
Before Data Clustering
Discrimination power of features Interactive Feature Selection
7
Before Data Clustering
Discrimination power of features Interactive Feature Selection
8
Before Data Clustering
Data Distribution Locations of Cluster Centers
9
Before Data Clustering
Data Distribution Locations of Cluster Centers
10
Before Data Clustering
Data Distribution Locations of Cluster Centers
11
Before Data Clustering
Data Distribution Locations of Cluster Centers
12
Before Data Clustering
Data Distribution Locations of Cluster Centers
13
Before Data Clustering
Data Distribution Locations of Cluster Centers
14
Before Data Clustering
Data Similarity Distance/Similarity Function
15
Before Data Clustering
Data Similarity Distance/Similarity Function
16
Before Data Clustering
Data Manifold Clustering Method
17
Before Data Clustering
Data Manifold Clustering Method
18
After Data Clustering Data Clusters & Relationships
User Assessment & feedbacks
19
After Data Clustering Data Clusters & Relationships
User Assessment & feedbacks
20
After Data Clustering Data Clusters & Relationships
User Assessment & feedbacks
21
After Data Clustering Data Clusters & Relationships
User Assessment & feedbacks
22
Before & After Data Clustering
Do we do things in right way? Different visualization tools for the same data set
23
Before & After Data Clustering
Distance function may play key roles in data visualization Distance function may also play key roles in data clustering How to learn best-matching distance function (metric)?
Similar presentations
