[PDF] Top 20 Student behavior analysis using self organizing map clustering technique
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Student behavior analysis using self organizing map clustering technique
... browsing behavior captured in log file were clustered using SOM ...browsing behavior being analyzed is from E-learning environment for one ...in clustering for unsupervised ...browsing ... See full document
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Clustering Web Usage Data using Concept Hierarchy and Self Organizing Map
... rules, clustering algorithms, sequential analysis and Markov models have been used for discovering the knowledge from Web usage ...approach using semantics in Web usage ... See full document
7
Mixed Data Clustering Using Dynamic Growing Hierarchical Self Organizing Map With Improved LM Learning
... visualized analysis framework for data clustering and pattern ...better analysis potential, as compared to stand alone ...data clustering is done automatically or semi automatically on the ... See full document
7
Radial Basis Function based Self-Organizing Map Model for Clustering Spatial Data using PCA
... pre-processing technique for Self Organizing Map (SOM) based clustering model has been proposed in this paper that uses Principal Component Analysis (PCA) to reduce ... See full document
7
Self Organizing Map Technique For Transformers Condition Monitoring From SFRA Result
... use. Using a data from Sweep Frequency Response Analysis (SFRA) then record it and analyze it manually, here it use a Self Organizing Map to solve the problem where it can explore the ... See full document
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SOMSN: An Effective Self Organizing Map for Clustering of Social Networks
... network analysis has become one of the favorite topics in data ...network analysis is to identify communities in the network. Clustering is an important task for detection of community in ...of ... See full document
6
Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen's Self Organizing Map
... the self-organizing map (SOM) algorithm has proven to be a useful tool in exploratory data analysis and clustering of multivariate data ... See full document
13
Efficient Satellite Image Segmentation using Energetic Self Organizing Map
... satellite imagery is in incremental state and that each previous step influences to the next. Hence a good segmentation is required to obtain good classification result.The main challenges of Satellite image segmentation ... See full document
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Self-organizin map clustering method for the analysis of e-learning activities
... The advancement in information technology has enhanced the effectiveness of web-based education (e-learning) system. The e-learning system allows students from anywhere and at any time to carryout different learning ... See full document
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An Application of Partitive Clustering Algorithm for Landslide Hazard Zonation
... can map the areas and can be used as tools to visualize the identified causative factors of the ...partitive clustering algorithms differs since K-Means is sensitive to ...trained map before starting ... See full document
6
NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK
... on clustering includes K-means, Fuzzy C-Means (FCM) and ...the clustering numbers must be known ...experience. Self-Or- ganizing Map (SOM) [9, 10] or Kohonen’s Map is an unsupervised ... See full document
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A modified kohonen self-organizing map (KSOM) clustering for four categorical data
... Kohonen Self-Organizing Map (KSOM) is one of the Neural Network unsupervised learning ...in clustering complex data ...accurate clustering result and all clusters can clearly be ... See full document
6
Self-Organizing and Clustering Methods in VANETs
... either self-organising system range (SOSR) or cluster based ...In self organizing system range, If the number of vehicles in a particular area is increasing, and if it causes difficulty for Road Side ... See full document
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SELF ORGANIZING MAP BASED CLUSTERING MODEL BY ANALYZING EIGEN SYSTEM OF PCA
... To implement the proposed algorithms,at first covariance matrix is generated from normalized data. The eigenvalues and eigenvectors of this covariance matrix are also computed which are thenindividually clustered by ... See full document
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Kohonen Self Organizing Map with Modified K-means clustering For High Dimensional Data Set
... data clustering in the field of data ...data clustering purposes but none can be as fast and accurate as the K-Means ...to clustering high dimensional data set because its complexity tends to make ... See full document
6
NGTSOM: A Novel Data Clustering Algorithm Based on Game Theoretic and Self- Organizing Map
... the map when compared to the original SOM where the neighborhood is defined based on the neurons’ distances in the two-dimensional ...new technique to make a proper selection of initial values of neuron’s ... See full document
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Social Interaction and Self-Organizing Map
... The self-organizing map (SOM) [1] is one of the most well-known techniques in neural ...because self-organizing maps are generally only concerned with competition and cooperation ... See full document
8
Mining hidden information from library databases using SOM (Self Organizing Map)
... (Self Organizing Map) on SOM (Self Organizing Map) Algorithm to Order Documents Algorithm to Order Documents Based on Their Full Text ... See full document
22
DEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural network
... optimal map is expected to yield the lowest average quantization error, because it is fitted best to the input data (Kohonen, ...optimal map with the lowest average quantization error was selected for ... See full document
12
Image Compression using Neural Network
... based technique that may be applied to image ...based self-organizing Kohonen map technique that may be a reliable and efficient way to achieve vector ... See full document
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