Add to ORKGAbstract — In the previous study, we have proposed the Com-munity Self-Organizing Map (CSOM) that the neurons create some neuron-community according to their winning frequencies. In this study, we apply CSOM to clustering and data extraction for various input data including a lot of noises, and we investigate its numerical efficiency by using correct answer rate. We confirm that CSOM creates some communities and obtain effective results for data extraction. I
The Self-Organizing Map (SOM) is a neural network algorithm, which uses a competitive learning techn...
Abstract Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in da...
Nowadays, lots of data is being collected for different industrial and commercial purposes, where th...
Abstract — In the previous study, we have proposed the Com-munity Self-Organizing Map (CSOM) that th...
Abstract — Since we can accumulate a huge amount of data including useless information in these year...
The internet age has fuelled an enormous explosion in the amount of information generated by humanit...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
Abstract — In this study, we propose a new Self-Organizing Map (SOM) algorithm considering Winning F...
Abstract The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visua...
Self-organizing map has been applied to a variety of tasks including data visualization and clusteri...
Abstract – Self Organizing Maps or SOMs are mostly used to represent a multidimensional data in much...
The Self-Organizing Map (SOM) has problems with some in-active neurons which have affected a result ...
Abstract- The Self-Organizing Map (SOM) is an unsupervised neural network introduced in the 80’s by ...
The Self-Organizing Map (SOM) is a neural network algorithm, which uses a competitive learning techn...
Abstract Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in da...
Nowadays, lots of data is being collected for different industrial and commercial purposes, where th...
Abstract — In the previous study, we have proposed the Com-munity Self-Organizing Map (CSOM) that th...
Abstract — Since we can accumulate a huge amount of data including useless information in these year...
The internet age has fuelled an enormous explosion in the amount of information generated by humanit...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
Abstract — In this study, we propose a new Self-Organizing Map (SOM) algorithm considering Winning F...
Abstract The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visua...
Self-organizing map has been applied to a variety of tasks including data visualization and clusteri...
Abstract – Self Organizing Maps or SOMs are mostly used to represent a multidimensional data in much...
The Self-Organizing Map (SOM) has problems with some in-active neurons which have affected a result ...
Abstract- The Self-Organizing Map (SOM) is an unsupervised neural network introduced in the 80’s by ...
The Self-Organizing Map (SOM) is a neural network algorithm, which uses a competitive learning techn...
Abstract Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in da...
Nowadays, lots of data is being collected for different industrial and commercial purposes, where th...