Name
Title | ||
|---|---|---|
Unsupervised And Semi-Supervised Graph-Spectral Algorithms For Robust Extraction Of Arbitrarily Shaped Fuzzy Clusters |
Abstract | ||
|---|---|---|
We present unsupervised and semi-supervised algorithms for extracting fuzzy clusters in weighted undirected regular, undirected bipartite, and directed graphs. We derive the semi-supervised algorithms from the Lagrangian function in unsupervised methods for extracting dominant clusters in a graph. These algorithms are robust against noisy data and extract arbitrarily shaped clusters. We demonstrate applications for similarity searches of data such as image retrieval in face images represented by undirected graphs, quantized color images represented by undirected bipartite graphs, and Web page links represented by directed graphs. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.20965/jaciii.2007.p0554 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
unsupervised clustering, semi-supervised clustering, graph-spectral algorithm, fuzzy clustering, image retrieval | Fuzzy clustering,CURE data clustering algorithm,Computer science,Artificial intelligence,FLAME clustering,Biclustering,Cluster analysis,Single-linkage clustering,Correlation clustering,Affinity propagation,Pattern recognition,Algorithm,Machine learning | Journal |
Volume | Issue | ISSN |
11 | 6 | 1343-0130 |
Citations | PageRank | References |
2 | 0.46 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weiwei Du | 1 | 23 | 7.33 |
| Kiichi Urahama | 2 | 141 | 32.64 |