Search Results - "density-based spatial clustering algorithm"

A density-based spatial clustering algorithm considering both spatial proximity and attribute similarity by 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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GRIDEN: An effective grid-based and density-based spatial clustering algorithm to support parallel computing by Deng, Chao, Song, Jinwei, Sun, Ruizhi, Cai, Saihua, Shi, Yinxue

“… A new effective grid-based and density-based spatial clustering algorithm, GRIDEN, is proposed in this paper, which supports parallel computing in addition to multi-density clustering…”
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A local-density based spatial clustering algorithm with noise by 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. However, in many cases, very different…”
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Adaptive Hierarchical Density-Based Spatial Clustering Algorithm for Streaming Applications by Vijayan, Darveen, Aziz, Izzatdin

“…Clustering algorithms are commonly used in the mining of static data. Some examples include data mining for relationships between variables and data…”
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Fire Risk Assessment and Warning Based on Hierarchical Density-Based Spatial Clustering Algorithm and Grey Relational Analysis by Huang, Junbo, Xu, Zhen, Yang, Feng, Zhang, Wenjuan, Cai, Shuyu, Luo, Jiqiang, Xie, Guobo, Li, Tianyu

“…Understanding the spatial and temporal distribution patterns of fire is of ecological, social and economic importance. The purpose of this study is to examine…”
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GRIDEN: An effective grid-based and density-based spatial clustering algorithm to support parallel computing by Deng, Chao, Song, Jinwei, Sun, Ruizhi, Cai, Saihua, Shi, Yinxue

“…Density-based clustering has been widely used in many fields. A new effective grid-based and density-based spatial clustering algorithm, GRIDEN, is proposed…”
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Modification of a Density-Based Spatial Clustering Algorithm for Applications with Noise for Data Reduction in Intrusion Detection Systems by Wiharto, Wiharto, Wicaksana, Aditya K., Cahyani, Denis E.

“…Monitoring activity in computer networks is required to detect anomalous activities. This monitoring model is known as an intrusion detection system (IDS)…”
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Airport Runway Snow Fall Detection using Density Based Spatial Clustering Algorithm by Manickam, R., Mayilvahanan, M.

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Extracting Attractive Local-Area Topics in Georeferenced Documents using a New Density-based Spatial Clustering Algorithm by Sakai, Tatsuhiro, Tamura, Keiichi, Kitakami, Hajime

“…])-density-based spatial clustering algorithm, is proposed. We defined a new type…”
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Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus by Qiu, Guo, Song, Rui, He, Shiwei, Xu, Wangtu, Jiang, Min

“… To identify the origin and destination distribution of potential CCB passengers, this paper proposes a pair wise density-based spatial clustering algorithm…”
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Perbandingan Algoritma Density-Based Spatial Clustering Algorithm with Noise (DBSCAN) dan Self-Organizing Map (SOM) untuk Clustering Data Gempa Bumi by Wati, Rosita Kurnia, Pratiwi, Hasih, Winita Sulandari

“… Penelitian ini bertujuan untuk clustering data gempa bumi di Indonesia berdasarkan magnitudo dan kedalaman dengan menerapkan algoritma Density-Based Spatial Clustering Algorithm With Noise (DBSCAN…”
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Klasifikasi Penggunaan Teknologi Pada Petani Milenial di Sulawesi Selatan Menggunakan Density Based Spatial Clustering Algorithm With Noise by Hafid, Hardianti, Arisandi, Arwini

“…This research examines the use of agricultural technology by millennial farmers in South Sulawesi Province by applying the Density-Based Spatial Clustering Algorithm with Noise (DBSCAN…”
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Advanced Secure Signature based Multipath Routing protocol for MANET using Density based Spatial Clustering Algorithm by Mishra, Rahul, Mantri, Archana

“…A mobile Adhoc network is a self-organizing, infrastructure-free network that operates without a centralized management system. Nodes depend on other nodes to…”
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A Local Density Based Spatial Clustering Algorithm with Noise by Lian Duan, Deyi Xiong, Jun Lee, Feng Guo

“…Density-based clustering algorithms are attractive for the task of class identification in spatial database. However, in many cases, very different…”
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An Improved Density-based Spatial Clustering Algorithm Based on Key Factors of Object's Distribution by Ming Huang, Fuling Bian

“…Density-based spatial clustering algorithms can be used to filter out noise and outliers, and discover clusters of arbitrary shape, which are all relatively good algorithms…”
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Modification of Density Based Spatial Clustering Algorithm for Large Database Using Naive's Bayes' Theorem by Agrawal, Jitendra, Soni, Sanyogita, Sharma, Sanjeev, Agrawal, Shikha

“…The DBSCALE algorithms are used for clustering of very large database. The clustering techniques are very proficient and also the rate of correctness is…”
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Parallel Processing for Density-based Spatial Clustering Algorithm using Complex Grid Partitioning and Its Performance Evaluation by Sakai, Tatsuhiro, Tamura, Keiichi, Misaki, Kohei, Kitakami, Hajime

“…Density-based spatial clustering algorithms, which have been well studied in database domains, are based on densities of geospatial data…”
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Improved varied density based spatial clustering algorithm with noise by Vijayalakshmi, S, Punithavalli, M

“…VDBSCAN is very famous Density based clustering algorithm. Handling highly dense data point is a challenging task in clustering. VDBSCAN algorithm handles…”
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LD-BSCA: A local-density based spatial clustering algorithm by Guiyi Wei, Haiping Liu

“…Density-based clustering algorithms are very powerful to discover arbitrary-shaped clusters in large spatial databases. However, in many cases, varied…”
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Traffic identification method based on on-line density based spatial clustering algorithm by Jian Zhang, Zongjue Qian, Guochu Shou, Yihong Hu

“…Recently traffic identification based on Machine Learning (ML) techniques has attracted a great deal of interest. Two challenging issues for these methods are…”
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