Nowadays the amount of digitalized images is growing faster than ever. In this paper, we discuss the mechanisms of fuzzy clustering and fuzzy clustering with partial supervision in the analysis and classification of images. These approaches are strongly influenced by some parameters such as fuzzification coefficient and the percentage of labeled images. Aim of this paper is to propose a graphical representation of the inter-prototypes distance obtained using a multidimensional scaling method. The results demonstrate that this representation is strongly related with the obtained classification performance.
|Titolo:||A Multidimensional Scaling Based GUI To Evaluate Partial Supervision Effects On Prototypes Spatial Localization In Fuzzy Clustering|
|Data di pubblicazione:||2007|
|Nome del convegno:||12th International Conference on Fuzzy Theory & Technology, 2007|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1142/9789812709677_0167|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|