Výsledky vyhledávání - "K-means algorithm"

Applying cluster analysis to identify target buildings for energy retrofit: An alternative to change-point model Autor Irakoze, Amina, So-I, Seok, Kim, Kee Han

“…Identifying energy-inefficient buildings is challenging, but critical for large-scale energy retrofit programs. Change-point model (CPM) is widely used to…”
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Electricity load forecasting using clustering and ARIMA model for energy management in buildings Autor Nepal, Bishnu, Yamaha, Motoi, Yokoe, Aya, Yamaji, Toshiya

“…Understanding the energy consumption patterns of buildings and investing efforts toward energy load reduction is important for optimizing resources and…”
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Robust deep k-means: An effective and simple method for data clustering Autor Huang, Shudong, Kang, Zhao, Xu, Zenglin, Liu, Quanhui

“…•A novel robust deep model is proposed to perform k-means hierarchically, thus the hierarchical semantics of data can be explored in a layerwise way. As a…”
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An Effective and Adaptable K-means Algorithm for Big Data Cluster Analysis Autor Hu, Haize, Liu, Jianxun, Zhang, Xiangping, Fang, Mengge

“…•A novel k-means clustering algorithm based on Lévy flight trajectory (Lk-means) is proposed.•The defects of Xk-means clustering algorithm are…”
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Research on crack classification method and failure precursor index based on RA-AF value of brittle rock Autor Bi, Jing, Zhao, Yu, Wu, Zhijun, Li, Jiashen, Wang, Chaolin

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Radar Emitter Identification Based on Novel Time-Frequency Spectrum and Convolutional Neural Network Autor Xiao, Zhiling, Yan, Zhenya

“…Radar emitter identification (REI) is significant in both military and civilian application domains. A critical step for REI is signal feature extraction. Most…”
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Enhancing Privacy and Availability for Data Clustering in Intelligent Electrical Service of IoT Autor Xiong, Jinbo, Ren, Jun, Chen, Lei, Yao, Zhiqiang, Lin, Mingwei, Wu, Dapeng, Niu, Ben

“…The ever-growing demand for electrical energy of sensing devices in the Internet of Things (IoT) has led to generating large amounts of electricity consumption…”
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A heuristic algorithm for solving the minimum sum-of-squares clustering problems Autor Ordin, Burak, Bagirov, Adil M.

“…Clustering is an important task in data mining. It can be formulated as a global optimization problem which is challenging for existing global optimization…”
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Improving the efficiency of last-mile delivery with the flexible drones traveling salesman problem Autor Lu, Shih-Hao, Kuo, R.J., Ho, Yi-Ting, Nguyen, Anh-Tu

“…•Flexible Drones Traveling Salesman Problem was proposed to minimize delivery time.•The two-stage heuristic, bisecting K-means and OR-Tools, solves the…”
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Two improved k-means algorithms Autor Yu, Shyr-Shen, Chu, Shao-Wei, Wang, Chuin-Mu, Chan, Yung-Kuan, Chang, Ting-Cheng

“…[Display omitted] K-means algorithm is the most commonly used simple clustering method. For a large number of high dimensional numerical data, it provides an…”
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Optimal Excitation Matching Strategy for Sub-Arrayed Phased Linear Arrays Generating Arbitrary-Shaped Beams Autor Rocca, Paolo, Poli, Lorenzo, Polo, Alessandro, Massa, Andrea

“…The design of phased arrays able to generate arbitrary-shaped beams through a sub-arrayed architecture is addressed here. The synthesis problem is cast in the…”
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Optimizing cluster centroids with improved quadratic interpolation: an Adaptive K-means algorithm Autor Zhao, Shijie, Yang, Ronghua, Meng, Fanshuai, Cai, Liang

“…The traditional k-means clustering algorithm is sensitive to initial centroids selection, prone to local optima, and inefficient on large-scale datasets. To…”
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A forward k-means algorithm for regression clustering Autor Lu, Jun, Luo, Tingjin, Li, Kai

“…We propose a novel forward k-means algorithm for regression clustering, where the “forward” strategy progressively partitions samples from a single cluster…”
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Nested Optimization for the Synthesis of Asymmetric Shaped Beam Patterns in Subarrayed Linear Antenna Arrays Autor Rocca, Paolo, Poli, Lorenzo, Anselmi, Nicola, Massa, Andrea

“…In this article, a novel clustering method for synthesizing asymmetric shaped beam patterns in subarrayed linear antenna arrays is presented. The definition of…”
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Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application Autor Yi, Huaikuan, Jiang, Qingchao, Yan, Xuefeng, Wang, Bei

“…Synthetic minority oversampling technique (SMOTE) has been widely used in dealing with the imbalance classification problem in the machine learning field…”
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Efficient algorithm for big data clustering on single machine Autor Alguliyev, Rasim M, Aliguliyev, Ramiz M, Sukhostat, Lyudmila V

“…Big data analysis requires the presence of large computing powers, which is not always feasible. And so, it became necessary to develop new clustering…”
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GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game Autor Jahangoshai Rezaee, Mustafa, Eshkevari, Milad, Saberi, Morteza, Hussain, Omar

“…Due to its simplicity, versatility and the diversity of applications to which it can be applied, k-means is one of the well-known algorithms for clustering…”
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Energy-efficient coverage optimization in wireless sensor networks based on Voronoi-Glowworm Swarm Optimization-K-means algorithm Autor Chowdhury, Aparajita, De, Debashis

“…Deployment of sensor nodes is one of the crucial factors in mobile wireless sensor networks for improving the performance of the network. The network's…”
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District metered area design through multicriteria and multiobjective optimization Autor Brentan, Bruno M., Carpitella, Silvia, Izquierdo, Joaquín, Luvizotto, Edevar, Meirelles, Gustavo

“…The design of district metered areas (DMA) in potable water supply systems is of paramount importance for water utilities to properly manage their systems…”
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Research on accurate marketing of e-commerce based on K-Means algorithm Autor Wang, Xinyi, Liao, Xiaoling

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