@inproceedings{c7a08dae94b8460c9099552aa6389ee1,
title = "Extraction of fuzzy clusters from weighted graphs",
abstract = "A spectral graph method is presented for partitioning of nodes in a graph into fuzzy clusters on the basis of weighted adjacency matrices. Extraction of a fuzzy cluster from a node set is formulated by an eigenvalue problem and clusters are extracted sequentially from major one to minor ones. A clustering scheme is devised at first for undirected graphs and it is next extended to directed graphs and also to undirected bipartite ones. These clustering methods are applied to analysis of a link structure in Web networks and image retrieval queried by keywords or sample images. Extracted structure of clusters is visualized by a multivariate exploration method called the correspondence analysis.",
author = "Seiji Hotta and Kohei Inoue and Kiichi Urahama",
year = "2000",
doi = "10.1007/3-540-45571-x_51",
language = "English",
isbn = "3540673822",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "442--453",
editor = "Takao Terano and Huan Liu and Chen, {Arbee L.P.}",
booktitle = "Knowledge Discovery and Data Mining",
address = "Germany",
note = "4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2000 ; Conference date: 18-04-2000 Through 20-04-2000",
}