Search Results - (( data visualization clustering algorithm ) OR ( data visualization system algorithm ))
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An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding
Published 2020“…Classic bag of visual words algorithm is based on k-means clustering and every SIFT features belongs to one cluster and it leads to decreasing classification results. …”
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Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin
Published 2020“…Another feature that the CASDSS offers is visualization where the system is able to visualize the clustering results as well as the strengths and weaknesses of the ASD students. 80 data regarding the autistic student’s behaviour, intelligence and skills are collected from special schools through distribution of questionnaires. …”
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Visualization of dengue incidences using expectation maximization (EM) algorithm
Published 2017“…R-GIS(R software) and clustering algorithm were used for year 2014 with several weeks to develop the relation between the visualization and prediction of reported incidences. …”
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Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure
Published 2019“…This study proposing an enhance bibliographic data retrieval and visualization using hybrid clustering method consists of K-harmonic mean (KHM) and Spectral Algorithm and eigenvector centrality measure. …”
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Document clustering using hybrid lda- kmeans
Published 2020“…Hence, the objective is to perform document clustering analysis using HLDA - Kmeans algorithm to discover the clusters among the unlabelled text data, classify the keyphrases based on topics and visualize the clustering results. …”
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Document clustering using hybrid lda- kmeans
Published 2020“…Hence, the objective is to perform document clustering analysis using HLDA - Kmeans algorithm to discover the clusters among the unlabelled text data, classify the keyphrases based on topics and visualize the clustering results. …”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…Besides, this system was able to perform good data visualization in order to provide better user experience. …”
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The development of level of detail (LOD) technique in 3D computer graphics application
Published 2009“…Drastic growth in computer simulation complexity and 3D scanning technology has boosted the size of geometry data sets used in visualization. Conventional (in-core) simplification techniques are sufficient in data reduction to accelerate graphics rendering. …”
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Generating vulnerability maps of dengue incidences for Petaling district in Malaysia
Published 2016“…Clustering is performed on this data using centroid and distribution models that are representatives of K-means and the Expectation Maximization (EM) algorithms, respectively. …”
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Sustainable urban drainage systems (2014-2023) by using bibliometric analysis method / Abraham Ayuen Ngong Deng, Nursetiawan and Jazaul Ikhsan
Published 2024“…Developing bibliometric methods and adding feature extraction algorithms when selecting features used to model data can increase the efficiency and accuracy of the data on sustainable urban drainage systems. …”
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Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
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Content-based indexing of low resolution documents
Published 2016“…A new algorithm that can be used with integrated visual signatures, especially in late fusion query was introduced. …”
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Data mining and analysis for predicting electrical energy consumption
Published 2024“…This classification was done using data mining (five algorithms in specific) and data analysis theory. …”
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Efficient and effective automated surveillance agents using kernel tricks
Published 2012“…They work by first mapping the raw input data onto a (often much) higher dimensional feature space, and then clustering in the feature space instead. …”
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Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI)
Published 2024“…Weka is a strong data mining and machine learning program including algorithms for data preparation, classification, regression, clustering, and visualization. …”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms
Published 2020“…Identifying specific locations of items such as containers, warehouse pellets, and returnable packages in a large environment, for instance, in a warehouse, requires an extensive tracking system that could identify the location through data visualization. …”
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Fuzzy Soft Set Clustering for Categorical Data
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