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CSIE
2009
IEEE
13 years 11 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
KES
2004
Springer
13 years 10 months ago
Multi-modal Data Fusion: A Description
Clustering groups records that are similar to each other into the same group, and those that are less similar into different groups. Clustering data of mixed types is difficult du...
Sarah Coppock, Lawrence J. Mazlack
IV
2010
IEEE
193views Visualization» more  IV 2010»
13 years 3 months ago
Drawing Clustered Bipartite Graphs in Multi-circular Style
Abstract—Bipartite graphs are often used to illustrate relationships between two sets of data, such as web pages and visitors. At the same time, information is often organized hi...
Takao Ito, Kazuo Misue, Jiro Tanaka
CVPR
2010
IEEE
14 years 1 months ago
Authority-Shift Clustering: Hierarchical Clustering by Authority Seeking on Graphs
In this paper, a novel hierarchical clustering method using link analysis techniques is introduced. The algorithm is formulated as an authority seeking procedure on graphs, which c...
Minsu Cho (Seoul National University), Kyoung Mu L...
CIKM
2000
Springer
13 years 9 months ago
A Semi-Supervised Document Clustering Technique for Information Organization
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
Han-joon Kim, Sang-goo Lee