The Simalungun Batak script contained in the Letter consists of several variants forms depending on language and region, general there are five Sumatra, namely Karo, Toba, Pakpak, Simalungun, Angkola Mandailing. This is not widely known by datu, people who respected community for mastering magic, fortune-telling, calendaring so that errors still often occur introduction this script, even though...

BACKGROUND A Kohonen topological map is an artificial intelligence system of the connectionist school (neural networks). The map learns the typical features of the subclasses in the learning set by means of a shortest Euclidean distance algorithm, after which self-adaptation of the neurons occurs. By its ability of self-organization and generalization, a Kohonen map is useful for pattern recogn...

The problem of color clustering is defined and shown to be a problem of assigning a large number (hundreds of thousands) of 3-vectors to a small number (256) of clusters. Finding those clusters in such a way that they best represent a full color image using only 256 distinct colors is a burdensome computational problem. In this paper, the problem is solved using "classical" techniques -k-means ...

Kohonen neural nets are some kind of competitive nets. The most commonly known variants are the Self-Organizing Maps (SOMs) and the Learning Vector Quantization (LVQ). The former model uses an unsupervized learning, the latter is an e cient classi er. This paper tries to give, in simple words, a clear idea about the basis of competitive neural nets and competitive learning emphasizing on the SO...

A locally linear approach based on Kohonen self-organizing feature mapping (SOFM) is proposed for the modeling of non-linear time series. This approach exploits the neighborhood preserving property of Kohonen feature maps. The key difference is that the local model fitting is performed directly over a matched neighborhood of the constructed SOFM neural field. The initial results show that this ...

This work is devoted to describe a potential use of the 1-Dimensional Kohonen Networks in the automatic non-supervised segmentation and classification of computed tomography brain slices. Possible perspectives of application include the automatic delineation of areas on the cerebral map and the automatic correlation between new clinical cases with previous boarded and closed cases. The classifi...