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2017.IX.
Young members of the MY-X team co-operate successfully with PhD-Students in frame of the conference of Szarvas!

2017.VII.
The MY-X team (incl. joung members) participated on the conference 'In memoriam Enyedi György'

2017.VI.
Bárdy-Péter-Prize for a member of the MY-X team concerning his innovation potential!

2017.V.
Gábor-Dénes-Prize (special prize for mathematics) for a member of the MY-X team!

2017.IV.
Special Prize in Minsk in frame of an essay-competition for a member of the MY-X team concerning a study about reform approches in education!

2017.IV.
III. Prize in the Hlavay competition for a member of the MY-X team!

2017.III.
NTP-NFTÖ financial support for a member of the MY-X team!

2017.II.
Successful presentation in TUDOK-competition in Nyíregyháza and later in Székesfehérvár by a member of the MY-X team!



Last modified: 2015.VII.19.14:08 - MIAÚ-RSS
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Robot-Eye - Approximation of the ideal number in the cluster analyse based on similarity analyses

Leading article: 2016. Januar (MIAU No. 209.)
(Previous article: MIAU No. 208.)

Keywords: robot-eye, hermeneutics, anti-discrimination models, optimizing, automation, artificial intelligence, similarity analysis

Abstract: The ideal number of clusters in case of a given data asset seems to have a marginal position in the literature published in Hungarian based on the amount of Google results. Some of them deliver hardly any relevant information. Other sources evaluate the problem as not to solve. If ideal sets of data (like rectangular, triangular clouds or circle of coordinates) got analysed the k-mean solution produced anomalies. These anomalies have massive impacts in case of arbitrary data assets. With other words: the ideal number of clusters can only be interpreted in form of approximations. Anomalies could also be detected through questionnaires, where human eyes and brains got used for interpretation tasks. The objective of this article is, to report about the possibility and technical solution of a robot eye. Multilayered antidiscriminative similarity analyses(COCO-Y0) is capable, to ensure rational interpretation of pictures. More (DOC) *** More (PDF)


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