Pregled bibliografske jedinice broj: 585396
On Spectral Bipartite Clustering Algorithm and Automatic Determination of the Number of Clusters
On Spectral Bipartite Clustering Algorithm and Automatic Determination of the Number of Clusters // IWASEP 7, International Workshop on Accurate Solution of Eigenvalue Problems VII
Dubrovnik, Hrvatska, 2008. (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 585396 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
On Spectral Bipartite Clustering Algorithm and Automatic Determination of the Number of Clusters
Autori
Mirošević, Ivančica ; Jakovčević Stor, Nevena
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
IWASEP 7, International Workshop on Accurate Solution of Eigenvalue Problems VII
/ - , 2008
Skup
7th International Workshop on Accurate Solution of Eigenvalue Problems
Mjesto i datum
Dubrovnik, Hrvatska, 09.06.2008. - 12.06.2008
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Spectral Bipartite Clustering; Number of Clusters
Sažetak
The main idea of spectral clustering is in modeling of a data set in a form of a simple undirected weighted graph, and observing the graph Laplacian spectrum. Usually, data partition can be reconstructed from dominant eigenvectors. We introduce several heuristic algorithms for accurate determination of number of clusters. The algorithms are based on properties of coupling matrix introduced in [1]. In this presentation we give several examples of datasets sucessfully clustered by our algorithms, both artificial and real-world ones.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Projekti:
0023002
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split