Suchergebnisse - spatial clustering algorithms

A density-based spatial clustering algorithm considering both spatial proximity and attribute similarity von Liu, Qiliang, Deng, Min, Shi, Yan, Wang, Jiaqiu

“… A new density-based spatial clustering algorithm (DBSC) is developed by considering both spatial proximity and attribute similarity …”
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A framework for spatial regionalization composed of novel clustering‐based algorithms under spatial contiguity constraints von Miranda, Leandro, Viterbo, José, Bernardini, Flávia

“… Although various spatial optimization approaches have been proposed for finding exact regionalization solutions, these approaches are not practical when applied to a large number of areas or problems …”
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ST-DBSCAN: An algorithm for clustering spatial–temporal data von Birant, Derya, Kut, Alp

“… , and (iii) adjacent clusters. In contrast to the existing density-based clustering algorithms, our algorithm has the ability of discovering clusters according to non-spatial, spatial and temporal values of the objects …”
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A spatial interpolation based on neighbor cluster adaptive model with spatial color block clustering algorithm: A spatial interpolation based on von Zhu, Liang, Chen, Feng, Song, Xin

“… To address this challenge, spatial interpolation methods are commonly used to predict soil fertility …”
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Research on the Application of Improved K-Means Spatial Clustering Algorithm in Landscape Conservation of Gardens von Sun, Hao, Yang, Yuanyuan

“… The original K-means clustering algorithm is then improved, and the new algorithm is created by combining PSO with the K-means algorithm in the high-dimensional spatial data set …”
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Interval type-2 possibilistic fuzzy clustering noisy image segmentation algorithm with adaptive spatial constraints and local feature weighting & clustering weighting von Wei, Tongyi, Wang, Xiaopeng, Wu, Jiaxin, Zhu, Shengyang

“… The interval type-2 possibilistic fuzzy C-means (IT2PFCM) algorithm is a popular data clustering and image segmentation method …”
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Spatial and non-spatial clustering algorithms in the analysis of Brazilian educational data von de Souza, Daiane Chitko, Taconeli, Cesar Augusto

“… In the present work, we present an illustrative example of the application of spatial and non-spatial clustering algorithms in the analysis …”
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A spatial distance-based spatial clustering algorithm for sparse image data von Zhang, Tian-fan, Li, Zhe, Yuan, Qi, Wang, You-ning

“… By allocating each object to one of the predefined categories, image classification deeply understands the attributes and features of the data on each object …”
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Robust fuzzy c-means clustering algorithm with adaptive spatial & intensity constraint and membership linking for noise image segmentation von Wang, Qingsheng, Wang, Xiaopeng, Fang, Chao, Yang, Wenting

“… The fuzzy C-means (FCM) clustering method is proven to be an efficient method to segment images …”
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Spatial Clustering Algorithms to Find the Optimal Spatial Resolution for Modelling of PtX Value Chains von Weise, Friedrich, Meißner, Björn, Koch, Barbara, Voglstätter, Christopher, Smolinka, Tom, Hebling, Christopher

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GriT-DBSCAN: A spatial clustering algorithm for very large databases von Huang, Xiaogang, Ma, Tiefeng, Liu, Conan, Liu, Shuangzhe

“… •The efficiency of the proposed algorithm is proved theoretically and experimentally. DBSCAN is a fundamental spatial clustering algorithm with numerous practical applications …”
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Detecting and analysing the topology of the cosmic web with spatial clustering algorithms I: methods von Kelesis, Dimitrios, Basilakos, Spyros, Papadopoulou Lesta, Vicky, Fotakis, Dimitris, Efstathiou, Andreas

“… ABSTRACT In this paper, we explore the use of spatial clustering algorithms as a new computational approach for modelling the cosmic web …”
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LANDMARC indoor positioning algorithm based on density-based spatial clustering of applications with noise–genetic algorithm–radial basis function neural network von Ren, Jingqiu, Bao, Ke, Zhang, Guanghua, Chu, Li, Lu, Weidang

“… algorithm based on density-based spatial clustering of applications with noise–genetic algorithm–radial basis function neural network is proposed …”
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A Survey and Experimental Review on Data Distribution Strategies for Parallel Spatial Clustering Algorithms von Challa, Jagat Sesh, Goyal, Navneet, Sharma, Amogh, Sreekumar, Nikhil, Balasubramaniam, Sundar, Goyal, Poonam

“… The advent of Big Data has led to the rapid growth in the usage of parallel clustering algorithms that work over distributed computing frameworks such as MPI, MapReduce, and Spark …”
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Improving crop model accuracy in the development of regional irrigation and nitrogen schedules by using data assimilation and spatial clustering algorithms von Wang, Yongqiang, Sun, Kexin, Gao, Yunhe, Liu, Ruizhe, Shen, Hongzheng, Xing, Xuguang, Ma, Xiaoyi

“… Therefore, we propose two strategies for retrieving maize cultivar coefficients by using a data assimilation algorithm and spatial clustering algorithm …”
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An adaptive spatial clustering algorithm based on delaunay triangulation von Deng, Min, Liu, Qiliang, Cheng, Tao, Shi, Yan

“… ► An adaptive spatial clustering algorithm is developed for geo-referenced 2-D point data …”
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Mining lidar data with spatial clustering algorithms von Ghosh, Suddhasheel, Lohani, Bharat

“… Then, we adapt and examine the effect of two algorithms, namely density-based spatial clustering of applications …”
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ADCN: An anisotropic density‐based clustering algorithm for discovering spatial point patterns with noise von Mai, Gengchen, Janowicz, Krzysztof, Hu, Yingjie, Gao, Song

“… Density‐based clustering algorithms such as DBSCAN have been widely used for spatial knowledge discovery as they offer several key advantages compared with other clustering algorithms …”
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GRIDEN: An effective grid-based and density-based spatial clustering algorithm to support parallel computing von Deng, Chao, Song, Jinwei, Sun, Ruizhi, Cai, Saihua, Shi, Yinxue

“… •Propose a new effective density-based and grid-based clustering algorithm GRIDEN for massive spatial data …”
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A local-density based spatial clustering algorithm with noise von Duan, Lian, Xu, Lida, Guo, Feng, Lee, Jun, Yan, Baopin

“… Density-based clustering algorithms are attractive for the task of class identification in spatial database …”
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