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Pregled bibliografske jedinice broj: 10585

New Methods for Cluster Selection in Unsupervised Fuzzy Clustering


Ćosić, Dubravko; Lončarić, Sven
New Methods for Cluster Selection in Unsupervised Fuzzy Clustering // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 37 (1996), 3-4; 133-137 (podatak o recenziji nije dostupan, članak, znanstveni)


CROSBI ID: 10585 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
New Methods for Cluster Selection in Unsupervised Fuzzy Clustering

Autori
Ćosić, Dubravko ; Lončarić, Sven

Izvornik
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije (0005-1144) 37 (1996), 3-4; 133-137

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
image processing; computed tomography; fuzzy

Sažetak
Cluster analysis has been playing an important role in solving many problems in pattern recognition and image processing. The fuzzy clustering has been widely used in pattern recognition to search for substructures in a multidimensional data space. Unsupervised clustering algorithms have a variable number of clusters as opposed to supervised clustering algorithms. Unsupervised clustering algorithms utilize various criteria to decide if and how to introduce a new cluster center. Three new methods for selection of a new cluster center in the K-means fuzzy clustering algorithm are presented in this paper. The comparison of new techniques is done with respect to cluster validity and speed of convergence. The technique is applied to the problem of segmentation of human head images obtained by Computed Tomography (CT). Experiments have been performed to compare the proposed techniques with respect to convergence speed and cluster validity measures

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
036024

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Sven Lončarić (autor)


Citiraj ovu publikaciju:

Ćosić, Dubravko; Lončarić, Sven
New Methods for Cluster Selection in Unsupervised Fuzzy Clustering // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 37 (1996), 3-4; 133-137 (podatak o recenziji nije dostupan, članak, znanstveni)
Ćosić, D. & Lončarić, S. (1996) New Methods for Cluster Selection in Unsupervised Fuzzy Clustering. Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 37 (3-4), 133-137.
@article{article, year = {1996}, pages = {133-137}, keywords = {image processing, computed tomography, fuzzy}, journal = {Automatika : \v{c}asopis za automatiku, mjerenje, elektroniku, ra\v{c}unarstvo i komunikacije}, volume = {37}, number = {3-4}, issn = {0005-1144}, title = {New Methods for Cluster Selection in Unsupervised Fuzzy Clustering}, keyword = {image processing, computed tomography, fuzzy} }
@article{article, year = {1996}, pages = {133-137}, keywords = {image processing, computed tomography, fuzzy}, journal = {Automatika : \v{c}asopis za automatiku, mjerenje, elektroniku, ra\v{c}unarstvo i komunikacije}, volume = {37}, number = {3-4}, issn = {0005-1144}, title = {New Methods for Cluster Selection in Unsupervised Fuzzy Clustering}, keyword = {image processing, computed tomography, fuzzy} }




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