Zobrazeno 1 - 6
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pro vyhledávání: '"Ming Leong Yii"'
Autor:
Ming Leong Yii, Chee Siong Teh
Publikováno v:
Advanced Science Letters. 23:11083-11087
Without a form of visual feedback, multivariate data would be reduced to a lump of numbers that very few people would be able to appreciate and be benefited from. This research paper proposes a novel triangulate mapping technique based on selforganiz
Publikováno v:
International Journal of Machine Learning and Computing. 5:420-425
Data with dimension higher than three is not possible to be visualized directly. Unfortunately in real world data, not only the dimension are often more than three, very often real world data contain temporal information that makes the data only usef
Publikováno v:
Neural Information Processing ISBN: 9783642344800
ICONIP (2)
ICONIP (2)
Self-Organizing Map (SOM), being a prominent unsupervised learning algorithm, is often used for multivariate data visualization. However, SOM only preserves inter-neurons distances in the input space and not in the output space due to the rigid grid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75f29f42e466203763c7a809bb7928d4
https://doi.org/10.1007/978-3-642-34481-7_34
https://doi.org/10.1007/978-3-642-34481-7_34
Publikováno v:
2011 7th International Conference on Information Technology in Asia.
This study proposes a hybrid model of Self-Organizing Map with modified adaptive coordinates (SOM-AC) and Spiking Neural Network (SNN) for multivariate spatial and temporal data visualization and classification. SOM is one of the most prominent unsup
Publikováno v:
SoCPaR
This paper proposes an hybrid Artificial Neural Network (ANN) with Self-Organizing Map (SOM) and modified Adaptive Coordinates (AC) for multivariate dimension reduction and data structures exploration. SOM, being a prominent unsupervised learning alg
Publikováno v:
2009 International Conference of Soft Computing & Pattern Recognition; 2009, p254-258, 5p