Organizing Map
Student behavior analysis using self organizing map clustering technique
... Self-organizing map (SOM) [7] is chosen as a mining technique in order to analyze and cluster the students’ behavior that have been captured from the log data ...
9
SOMSN: An Effective Self Organizing Map for Clustering of Social Networks
... from this density space and applied on the network. According to the position of input vector in R n the weights of the cells change according to algorithm. This change is done in such a way that ultimately weight ...
6
Customer Segmentation of Credit Card Default by Self Organizing Map
... In this paper we applied the technique of Self Organizing Map (SOM) to seg- ment individuals based on their credit information. SOM is an unsupervised machine learning method that reduces data complexity ...
6
INTEGRATION OF THE SELF-ORGANIZING MAP AND NEURAL GAS WITH MULTIDIMENSIONAL SCALING
... The self-organizing map (SOM) is a class of neural networks that are trained in an unsupervised manner using a competitive learning [12]. The neural gas is a biologically inspired adaptive algorithm [13]. ...
9
Self Organizing Map Technique For Transformers Condition Monitoring From SFRA Result
... The transformer breakdown is common in the industry where the transformer is continuously used and it makes deterioration performance of transformer. Here the main problem where it need to define the characteristic of ...
24
Creation of Text Document Matrices and Visualization by Self-Organizing Map
... Abstract. In the paper, text mining and visualization by self-organizing map (SOM) are investigated. At first, textual information must be converted into numerical one. The results of text mining and ...
10
NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK
... 8. Zhang P., Verma B., Kumar K., Neural vs statistical classifier in conjunction with genetic algorithm fea- ture selection in digital mammography. IEEE, 2003. 9. Zhou Z., Wei S., Zhang X., Zhao X., Remote sens- ing ...
6
Self-organizing map and multilayer perceptron for malay speech recognition
... temporal information. Since the word has to be recognized as a whole, the word patterns have to be warped using some pre-defined paths in order to obtain fixed length word patterns (Tebelskis, 1995; Gavat et al., 1998). ...
35
Enhanced Self Organizing Map Neural Network for DNA Sequence Classification
... Self-Organizing Map (SOM) is one of the widely ap- plied neural networks and has some interesting features over other neural networks. One advantages of using SOM is that it is quite robust with respect to ...
9
Adaptive Offset Subspace Self Organizing Map: An Application to Handwritten Digit Recognition
... Self-Organizing Map (ASSOM) can learn a set of ordered linear subspaces which correspond to invariant ...Self-Organizing Map, minimizes a projection error function in a gradient-descent fash- ...
21
Efficient Satellite Image Segmentation using Energetic Self Organizing Map
... Abstract—Satellite images often require segmentation in the presence of uncertainly which caused due to factors like environmental condition, poor resolution and poor illumination. Image processing applications depends ...
8
Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm
... Self-Organizing Map (SOM) is an unsupervis- ed neural network structure consists of neurons organized on a regular low dimensional grid ...called map or competitive ...
8
Hand Gesture Recognition System Using Kohonen Self Organizing Map
... This paper focused on the vision-based approach for recognizing static hand gestures representing letters of the alphabet, enter, space and backspace keys captured using a CMU camera and converted to computer readable ...
8
Maximal Ratio Combining using Self Organizing Map in Wireless Channels
... Self Organizing Map (SOM) which is a type of unsupervised Artificial Neural Network (ANN), as an aid to Maximal Ratio Combining (MRC) in order to improve bit error rate (BER) values of demodulated signals ...
6
Software Reusability Classification and Predication Using Self Organizing Map (SOM)
... Self-Organizing Map uses an arranged set of neurons usually in 2-D rectangular or hexagonal grid ...two-dimensional map [35], and learn or discover the underlying structure of the input ...
14
Social Interaction and Self-Organizing Map
... The self-organizing map (SOM) [1] is one of the most well-known techniques in neural networks. In particular, the SOM is commonly used for the visualization of complex data. Contradictorily, one of the main ...
8
Lifestyle patterns in the Iranian population: Self- organizing map application
... As for consuming oil, the participants were categorized into 2 groups: 1) people who mostly consumed saturated oil (hydrogenated vegetable fats, butter or other animal fats, margarine) and 2) those who mainly consumed ...
8
The ubiquitous self-organizing map for non-stationary data streams
... Within this increasingly important field of research the application of artificial neu- ral networks to such task remains a fairly unexplored path. The self-organizing map (SOM) [1] is an unsupervised ...
22
A modified kohonen self-organizing map (KSOM) clustering for four categorical data
... Furthermore, ViSOM was introduced by Yin [10] in the year 2002, to solve the data cluster structures in visualization, where the shape of the clusters are often distorted. This algorithm implemented the inter-neuron ...
6
MR Brain Image Segmentation Based on Self Organizing Map and Neural Network
... Self-organizing map and fuzzy C-mean ...Self-organizing map and fuzzy C mean algorithm to detect brain tumor, the efficiency have been proved by the results obtained from our ...
8