self-organizing map-based clustering
SELF ORGANIZING MAP BASED CLUSTERING MODEL BY ANALYZING EIGEN SYSTEM OF PCA
... It has already been discussed in previous section that PCA and SOM both are capable of retaining the essential information of a dataset in lesser number of selected components individually in a sophisticated way.Number ...
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Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen's Self Organizing Map
... SOM based on the U-matrix and finally (d) spatial distribu- tion well screens, colored using the false ...the self-organizing map is carried out in such a way that units with similar weight ...
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Radial Basis Function based Self-Organizing Map Model for Clustering Spatial Data using PCA
... for Self Organizing Map (SOM) based clustering model has been proposed in this paper that uses Principal Component Analysis (PCA) to reduce dimensionality of a non-categorical ...SOM ...
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An Application of Partitive Clustering Algorithm for Landslide Hazard Zonation
... [9][10], self-organizing map [12] and artificial neural network models ...Kohonen self-organizing maps (SOM) as part of the unsupervised learning algorithm of ANN has been applied as a ...
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Self-organizin map clustering method for the analysis of e-learning activities
... partially based on their learning ...of Self-organizing Map (SOM) to analyze students‘ e- learning activities with the aim to identify clusters of students who use the e-learning environment ...
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Clustering Web Usage Data using Concept Hierarchy and Self Organizing Map
... Models based on association rules, clustering algorithms, sequential analysis and Markov models have been used for discovering the knowledge from Web usage ...predominantly based on usage information ...
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A modified kohonen self-organizing map (KSOM) clustering for four categorical data
... the map, and differentiate the clusters effectively ...are based on 2D grids and ...conventional clustering techniques and being implemented in various ...
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Self Organized Mapping based Map Reduce technique in big data analytics: A Neural Nnetwork approach
... (i.e., organizing and managing the ...data, clustering has become a crucial part in identifying the similarities based on many parameters in a given data set that influences in decision ...this ...
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Student behavior analysis using self organizing map clustering technique
... web- based communities [32], predict student’s performance [33, 34] and being applied in massive volume of educational data from university to extract the knowledge and pattern inside ...classification, ...
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Application of Data Mining in predicting a Course for a Student Based on Previous Records, Financial Status and Personality Traits
... earlier, clustering is used in order to obtain useful knowledge from the ...class. Clustering is the process of making a group of abstract objects into classes of similar ...objects. Clustering is ...
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Kohonen Self Organizing Map with Modified K-means clustering For High Dimensional Data Set
... One of the simplest and widely used partitioning based, nonhierarchical clustering methods is the K-Means. For any given set of numeric dataset X and an integer number k, the K-means algorithm searches for ...
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Hybrid Self-Organization Based Facility Layout Planning
... a self-organizing map (SOM) as a clustering tool [7] and ...The self-organization principle has also been proposed for facility layout planning [9] and the organization of distributed ...
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MR Brain Image Segmentation Based on Self Organizing Map and Neural Network
... Fuzzy clustering in contrast to the usual (crisp) methods does not provide hard clusters, but returns a degree of membership of each object to all the ...crisp clustering is exclusiveness, as there are ...
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NGTSOM: A Novel Data Clustering Algorithm Based on Game Theoretic and Self- Organizing Map
... data clustering algorithm is proposed by combining a new initialization method, Game theory, and SOM ...existing clustering techniques where the weight vectors of non-winning neurons are far from the input ...
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SOMSN: An Effective Self Organizing Map for Clustering of Social Networks
... In this paper, a new algorithm for detecting communities in social networks is presented. This algorithm is designed based on self-organizing map (SOM). The advantage of using SOM is that the ...
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Image Fusion Using Self Organizing Feature Map With Histogram Equalization
... primarily based fusion algorithmic rule, the fusion results are affected by the performance of segmentation ...are based on thresholding and clustering but the partition criteria used by these ...
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A Self-Organizing Map Architecture for Arm Reaching Based on Limit Cycle Attractors
... To date SOMs have only played a limited role in large- scale neurocognitive architectures. A fundamental barrier to adopting SOMs in neurocognitive architectures is that most past SOMs have used a static representation ...
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Social Interaction and Self-Organizing Map
... The hypothetical improved visualization is possible by enhancing the characteristics common to neurons based upon their interactions. In addition, our method can be used to control the degree of interaction or ...
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Proposed Algorithms To Solve Big Data Traveling Salesman Problem
... Both two proposed algorithms associates the two first blocks in Figure (1), but the difference will be appears in last one to solve whole combination of clusters points. In both algorithms, all huge number of points will ...
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Image Compression using Neural Network
... network based technique that may be applied to image ...network based self-organizing Kohonen map technique that may be a reliable and efficient way to achieve vector ...
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