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SOM neural network is one of the most commonly used clustering algorithom in the text clustering field, but the learning strategies of SOM Network Clustering does not pursue the goal of the text clustering - the smallest deviation of the clusters, so it is very difficult to get the clusters with the smallest deviation. According to the principle of equal deviation, this paper presents an improved...
In this paper we present a novel clustering analysis method based on the Most Similar Relation Diagram (MSRD). MSRD is a diagram in which each datum of a dataset is linked to its most similar data. By cutting off some links in the diagram a certain number of clusters are formed. A compare of the MSRD method with hierarchical method is implemented. Clustering experiences using MSRD were done and the...
In this paper, we investigate the parallel training strategy and propose a parallel support vector regression machine algorithm that integrates model segmentation and data space decomposition. The major aim is to explore the new data space decomposition scheme that can solve computation intensive problem about the long time training based on SVR's classification by using low-dimension algorithms....
This paper investigates the collective behavior of a leader-follower system with communication time lags based on nearest neighbors information. The leaders proposed in the swarm can obtain the information from the environment, but the followers can not. Under the common assumptions, we prove that the individuals of the swarm with the local information will aggregate and form a cohesive cluster of...
In this paper a new method is presented and used in clustering document collections. This method is based on the one-dimensional arrays of Self-Organizing Map network (1-D SOM array). The main idea of this method is to obtain the clustering results by calculating the distances between every two adjacent MSPs (the most similar prototype to the input vector ) of well trained 1-D SOM. The process is...
The self-organizing map (SOM) is an excellent tool for data mining. In order to know the understanding of businesses of establishing the environment-friendly enterprise, we carried out a questionnaire to 49 manufacturing enterprises in a city and clustered the results using SOM network. We found that there are four different classes among the enterprises. In doing this work we developed a new procedure...
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