TY - GEN
T1 - Element-Level Clustering of Feature Vectors Considering Correlations for Analyzing Image Data
AU - Omachi, Masako
AU - Omachi, Shinichiro
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/11
Y1 - 2017/1/11
N2 - Clustering is a fundamental tool for data analysis. Typically, all attributes of the data are used for clustering. However, if a set of attributes can be divided into meaningful subsets, it may be effective to cluster the data for each subset. In this paper, we propose a method for dividing the set of elements of feature vectors into meaningful subsets. Considering the dependencies between the elements, the correlation is used as the metric for clustering. In order to effectively solve the optimization problem, a technique for graph cut is used. After dividing the set of elements into subsets, clustering is performed for each subset. Experiments using a handwritten image database show the effectiveness of the proposed method.
AB - Clustering is a fundamental tool for data analysis. Typically, all attributes of the data are used for clustering. However, if a set of attributes can be divided into meaningful subsets, it may be effective to cluster the data for each subset. In this paper, we propose a method for dividing the set of elements of feature vectors into meaningful subsets. Considering the dependencies between the elements, the correlation is used as the metric for clustering. In order to effectively solve the optimization problem, a technique for graph cut is used. After dividing the set of elements into subsets, clustering is performed for each subset. Experiments using a handwritten image database show the effectiveness of the proposed method.
KW - clustering
KW - correlation
KW - image analysis
KW - stochastic model
UR - http://www.scopus.com/inward/record.url?scp=85013293312&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85013293312&partnerID=8YFLogxK
U2 - 10.1109/SKG.2016.031
DO - 10.1109/SKG.2016.031
M3 - Conference contribution
AN - SCOPUS:85013293312
T3 - Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016
SP - 146
EP - 149
BT - Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016
A2 - Zhuge, Hai
A2 - Sun, Xiaoping
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Semantics, Knowledge and Grids, SKG 2016
Y2 - 15 August 2016 through 17 August 2016
ER -