Results 21 to 30 of about 315,009 (291)
Clustering by Search in Descending Order and Automatic Find of Density Peaks
IEEE Access, 2019 Clustering by fast search and find of density peaks published on journal Science in 2014 is a density-based clustering technique, which is not only unnecessary to determine the number of clusters in advance, but also able to recognize the clusters of ...
Tong Liu, Hangyu Li, Xudong Zhao
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Automatic Middleware Deployment Planning On Clusters [PDF]
The International Journal of High Performance Computing Applications, 2006 The use of remotely distributed computing resources as a single system offers great potential for compute-intensive applications. Increasingly, users have access to hundreds or thousands of machines at once and wish to utilize those resources concurrently.
Kaur Chouhan, Pushpinder +3 more
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Automatic Text Summarization Using Latent Drichlet Allocation (LDA) for Document Clustering
IJAIN (International Journal of Advances in Intelligent Informatics), 2015 In this paper, we present Latent Drichlet Allocation in automatic text summarization to improve accuracy in document clustering. The experiments involving 398 data set from public blog article obtained by using python scrapy crawler and scraper.
Erwin Yudi Hidayat +4 more
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CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering
SoftwareX, 2023 We present CVIK, a Matlab-based toolbox for assisting the process of cluster analysis applications. This toolbox aims to implement 28 cluster validity indices (CVIs) for measuring clustering quality available to data scientists, researchers, and ...
Adán José-García +1 more
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A robust automatic clustering scheme for image segmentation using wavelets [PDF]
, 1995 The optimal features with which to discriminate between regions and, thus, segment an image often differ depending on the nature of the image. Many real images are made up of both smooth and textured regions and are best segmented using different ...
Canagarajah, CN, Porter, RMS
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Advances in Multimedia, 2022 In order to improve the effect of intelligent automatic test paper composition, this paper combines the hybrid fuzzy clustering algorithm to study the computer automatic test paper composition algorithm.
Baopeng Kan
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Nearest Descent, In-Tree, and Clustering
Mathematics, 2022 Clustering aims at discovering the natural groupings in a dataset, prevalent in many disciplines that involve multivariate data analysis. In this paper, we propose a physically inspired graph-theoretical clustering method, which first makes the data ...
Teng Qiu, Yongjie Li
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International Journal of Digital Earth, 2022 Super-pixel algorithms based on convolutional neural networks with fuzzy C-means clustering are widely used for high-spatial-resolution remote sensing images segmentation.
Zenan Yang +5 more
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Automatic clustering of data from sampling and evaluating of neuro-fuzzy network forestimatinge the distribution of Bemisia. tabaci (Hem.:Aleyrodidae) [PDF]
نامه انجمن حشرهشناسی ایران, 2017 In this study, Neuro Fuzzy network was used to estimate the spatial distribution of Bemisia tabaci in a cucumber field in Behbahan. Pest density assessments were performed based on a 10 m × 10 m grid pattern pattern and a total of 100 sampling units in.
Bahram Tafaghodinia +1 more
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Fast and Automatic Image Segmentation Using Superpixel-Based Graph Clustering
IEEE Access, 2020 Although automatic fuzzy clustering framework (AFCF) based on improved density peak clustering is able to achieve automatic and efficient image segmentation, the framework suffers from two problems.
Xiaohong Jia +5 more
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