Suchergebnisse - CURE (Clustering Using Representatives) algorithm

Security of SDDN based on Adaptive Clustering Using Representatives (CURE) Algorithm von Swefee, Mohammed, A. Abdullah, Alharith

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A robust reconstruction method based on local Bayesian estimation combined with CURE clustering von Gu, Tianqi, Kang, Cheng, Tang, Dawei, Lin, Shuwen, Luo, Tianzhi

“… using representatives (CURE) algorithm. In the support domain, this method adopts a two-step process to remove the abnormal points and adjust the weights of discrete points through compound weighting …”
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Hierarchical Cluster Analysis Implementation Using the Algorithm of Clustering Using Representatives von Bhadra Pratap Singh, Veer, Singh, Prashant, Jain, Dhyanender, Pandey, Amit Kumar, Das, Sanjoy

“… , classification and final integration, and each of these approaches involves a set of algorithms …”
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Analysis of Representative Values in Clustering using the CURE Algorithm von Nst, Umaya Ramadhani Putri, Sutarman, Sirait, Pahala

“… One of the algorithms in the clustering process is CURE (Clustering Using Representative …”
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Implementation of the Clustering Using Representatives (Cure-sne) Algorithm on Toddler Stunting Data von 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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CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests von Ma, Li, Fan, Suohai

“… Experiments on imbalanced UCI data reveal that the combination of Clustering Using Representatives (CURE …”
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Privacy-Preserving Clustering Using Representatives over Arbitrarily Partitioned Data von 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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A Modified Clustering Using Representatives to Enhance and Optimize Tracking and Monitoring of Maritime Traffic in Real-time Using Automatic Identification System Data von Manyfield-Donald, Cheronika, Kwembe, Tor A., Cheng, Jing-Ru C.

“… In this paper, we introduce a modification of the Clustering Using Representatives (CURE …”
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An Automated Microstructural Analysis of SEM Images for Multiple Domain Sets Using Improved CURE (i-CURE) Algorithm in Machine Learning von Sornalakshmi, M, Sakthimohan, M, Elizabeth Rani, G, Karthigadevi, K, Tamil Selvan, S, Sanjeevi Kumar, V

“… In real time materials plays a vital role in all fields. Scanning Electron Microscopic (SEM) images are used for imaging the materials and it provides …”
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Multi-layer Topology Identification for Low-Voltage Distribution Network Using Autoencoder and Dual-CURE Cluster von Liu, Hui, Liu, Jiawei, Ren, Shuaihui, Hong, Haisheng, Lin, Chuang, Lu, Jinwei

“… on a fusion autoencoder and an improved Clustering Using Representatives (CURE) algorithm. Firstly, incorrect topology relationships are captured through autoencoders …”
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Landslide susceptibility mapping using O-CURE and PAM clustering algorithms von 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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A Hybrid Approach to Clustering in Big Data von Kumar, Dheeraj, Bezdek, James C., Palaniswami, Marimuthu, Rajasegarar, Sutharshan, Leckie, Christopher, Havens, Timothy Craig

“… Specifically, we use k-means, single pass k-means, online k-means, and clustering using representatives (CURE …”
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Genetic algorithm based framework for mining fuzzy association rules von Kaya, M., Alhajj, R.

“… For this purpose, we first present a genetic algorithm (GA) based clustering method that adjusts centroids of the clusters, which are to be handled later as midpoints of triangular membership functions …”
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Enhancement of CURE algorithm using Map-Reduce Technique with Parallelism von 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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Clustering techniques in data mining: A comparison von Garima, Gulati, Hina, Singh, P. K.

“… This paper reviews the various clustering algorithms available for data mining and provides a comparative analysis of the various clustering algorithms like DBSCAN, CLARA …”
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Detecting Non-Spherical Clusters Using Modified CURE Algorithm von 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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Scalable Recommendations Using Clustering Based Collaborative Filtering von Das, Joydeep, Banerjee, Madhurima, Mali, Kalyani, Majumder, Subhashis

“… The core of a CF algorithm is the similarity computations among the users or items, which becomes extremely expensive when new users and items join the system at a very rapid rate …”
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CURE-NS: a hierarchical clustering algorithm with new shrinking scheme von Yun-Tao Qian, Qing-Song Shi, Qi Wang

“… CURE (clustering using representatives) is an efficient clustering algorithm for large databases, which is more robust to outliers compared …”
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A Groundbreaking Hexagonal Network Design for Smooth LTE-Unlicensed and WLAN Coexistence von Chaudhary, Bulbul, Javed, Mohd

“… Tremendous demand for mobile data at recent years is solved from new innovations of coexistence among network operators. Extending long term evolution (LTE) …”
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Representative points clustering algorithm based on density factor and relevant degree von Wu, Di, Ren, Jiadong, Sheng, Long

“… In this paper, on the basis of CURE algorithm, a representative points clustering algorithm based on density factor and relevant degree called RPCDR is proposed …”
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