Výsledky vyhledávání - CURE data clustering algorithm

CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests Autor Ma, Li, Fan, Suohai

“… Results We propose the CURE-SMOTE algorithm for the imbalanced data classification problem…”
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Cure: an efficient clustering algorithm for large databases Autor Guha, Sudipto, Rastogi, Rajeev, Shim, Kyuseok

“… We propose a new clustering algorithm called CURE that is more robust to outliers, and identifies clusters having non-spherical shapes and wide variances in size…”
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Enhancing CURE Algorithm with Stochastic Neighbor Embedding (CURE-SNE) for Improved Clustering and Outlier Detection Autor Ginting, Dewi Sartika Br, Efendi, Syahril, -, Amalia, Sihombing, Poltak

“…This study focuses on analyzing stunting data using the CURE and CURE-SNE algorithms for clustering and outlier detection…”
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Implementation of the Clustering Using Representatives (Cure-sne) Algorithm on Toddler Stunting Data Autor Ginting, Dewi Sartika Br, Efendi, Syahril, Amalia, Sihombing, Poltak, Aldeena, Muhammad Iqbal, Marianto, Ivanny Putri

“…This study investigates the application of the Clustering Using Representatives (Cure-sne) algorithm to analyze toddler stunting data, focusing on four key variables…”
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Importance of CURE Clustering Algorithm over K-Means Clustering Algorithm for Large Data-set Autor Bharadwaj, Prakhar, Gupta, Ragesh, Gurjar, Ravi, Singh, Anurag

“… This paper aims to demonstrate the importance of Cure algorithm over the K-Means Algorithm with the help of a specified performance metric for large data sets…”
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Landslide susceptibility mapping using O-CURE and PAM clustering algorithms Autor Mwakapesa, Deborah Simon, Lan, Xiaoji, Nanehkaran, Yaser Ahangari, Mao, Yimin

“…: the traditional Clustering Using REpresentatives algorithm (CURE), that is, efficient for large datasets and noise data, the partition influence weight (PIW…”
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Enhancement of CURE algorithm using Map-Reduce Technique with Parallelism Autor Chavva, Subba Reddy, Vijayaraj, A., Mageshkumar, N., Senthilvel, P. Gururama

“… Clustering Using Representatives (CURE) is an efficient clustering algorithm that handles voluminous data…”
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Improved CURE algorithm and application of clustering for large-scale data Autor Shao Xiufeng, Cheng Wei

“…Aiming at the classification problem of large-scale document information, a large-scale data clustering algorithm based on improved CURE algorithm is proposed…”
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Analysis of Representative Values in Clustering using the CURE Algorithm Autor Nst, Umaya Ramadhani Putri, Sutarman, Sirait, Pahala

“… One of the algorithms in the clustering process is CURE (Clustering Using Representative…”
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On cluster tree for nested and multi-density data clustering Autor Li, Xutao, Ye, Yunming, Li, Mark Junjie, Ng, Michael K.

“… Compared with some existing clustering algorithms (DBSCAN, X-means, BIRCH, CURE, NBC, OPTICS, Neural Gas, Tree-SOM, EnDBSAN and LDBSCAN…”
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Rapid Display Method of Massive Data Based on Intelligent Clustering Model Autor TANG Hongcheng, WEN Chang, FENG Wenxiang, XIE Kai, FANG Wenqing

“… data.The CURE clustering algorithm is used to sort the data,and the data is indexed by Hilbert R…”
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A Modified Clustering Using Representatives to Enhance and Optimize Tracking and Monitoring of Maritime Traffic in Real-time Using Automatic Identification System Data Autor Manyfield-Donald, Cheronika, Kwembe, Tor A., Cheng, Jing-Ru C.

“… In doing so, we present a 2-D points data collection system for the utilization of a modified unsupervised machine learning clustering method of the CURE algorithm integrated with a data streaming…”
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Representative points clustering algorithm based on density factor and relevant degree Autor Wu, Di, Ren, Jiadong, Sheng, Long

“…Most of the existing clustering algorithms are affected seriously by noise data and high cost of time…”
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Privacy-Preserving Clustering Using Representatives over Arbitrarily Partitioned Data Autor Li, Yu, Zhong, Sheng

“… In this paper, we propose a privacy-preserving clustering using representatives (CURE) algorithm over arbitrarily partitioned data using fully homomor- phic encryption…”
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Handling Structured Data Using Data Mining Clustering Techniques Autor Maitrey, Seema, Jha, C. K.

“…In the new era, every organization has the capability to store the extremely large amount of data…”
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A NOVEL COVID-19 CLASSIFICATION METHOD BASED ON CURE CLUSTERING Autor Karabulut, Bergen, Arslan, Güvenç, Ünver, Halil Murat

“… However, as the data size increases, problems such as space requirement or classification time may arise. KNN (K-nearest neighbor…”
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Detecting Non-Spherical Clusters Using Modified CURE Algorithm Autor Safdari-Vaighani, Arezou, Salehpour, Pedram, Feizi-Derakhshi, Mohammad-Reza

“…Clustering using representatives (CURE) algorithm is a robust hierarchical clustering algorithm which is dealing with noise and outliers…”
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Improved identification of network anomalies through optimal CURE clustering Autor Wu, Xiaoqian, Chen, Cheng, Quan, Lili

“… The implementation workflow commences with the application of the optimized CURE algorithm to analyze network data, followed by the deployment of a sophisticated anomaly degree ranking mechanism…”
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Chameleon: hierarchical clustering using dynamic modeling Autor Karypis, G., Eui-Hong Han, Kumar, V.

“…Clustering is a discovery process in data mining. It groups a set of data in a way that maximizes the similarity within clusters and minimizes the similarity between two different clusters…”
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A HYBRID CLUSTERING WITH SIDE INFORMATION IN TEXT MINING Autor T. NAVEEN, KUMAR, RAMA, DEVI

“… The existing COATES algorithm is created for clustering approach. But, in COATES the kmeans algorithm creates some problems as it is unable to get the quality of clusters better…”
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