Výsledky vyhledávání - "“k-means” algorithm"

K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data Autor Ikotun, Abiodun M., Ezugwu, Absalom E., Abualigah, Laith, Abuhaija, Belal, Heming, Jia

“…Advances in recent techniques for scientific data collection in the era of big data allow for the systematic accumulation of large quantities of data at…”
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A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation Autor Borlea, Ioan-Daniel, Precup, Radu-Emil, Borlea, Alexandra-Bianca, Iercan, Daniel

“…This paper proposes as an element of novelty the Unified Form (UF) clustering algorithm, which treats Fuzzy C-Means (FCM) and K-Means (KM) algorithms as a…”
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Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering Autor Bo Yang, Xiao Fu, Sidiropoulos, Nicholas D.

“…Dimensionality reduction techniques play an essential role in data analytics, signal processing, and machine learning. Dimensionality reduction is usually…”
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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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Improving K-means clustering with enhanced Firefly Algorithms Autor Xie, Hailun, Zhang, Li, Lim, Chee Peng, Yu, Yonghong, Liu, Chengyu, Liu, Han, Walters, Julie

“…In this research, we propose two variants of the Firefly Algorithm (FA), namely inward intensified exploration FA (IIEFA) and compound intensified exploration…”
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Hybrid Particle Swarm and Grey Wolf Optimizer and its application to clustering optimization Autor Zhang, Xinming, Lin, Qiuying, Mao, Wentao, Liu, Shangwang, Dou, Zhi, Liu, Guoqi

“…Grey Wolf Optimizer (GWO) and Particle Swarm Optimization (PSO) algorithm are two popular swarm intelligence optimization algorithms and these two algorithms…”
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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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Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering Autor Lu, Yang, Cheung, Yiu-Ming, Tang, Yuan Yan

“…Class imbalance problem has been extensively studied in the recent years, but imbalanced data clustering in unsupervised environment, that is, the number of…”
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An Artificial Intelligence based scheduling algorithm for demand-side energy management in Smart Homes Autor Rocha, Helder R.O., Honorato, Icaro H., Fiorotti, Rodrigo, Celeste, Wanderley C., Silvestre, Leonardo J., Silva, Jair A.L.

“…A new methodology, that combine three different Artificial Intelligence techniques, is proposed in this paper to solve the energy demand planning in Smart…”
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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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A Universal High‐Gain Low‐Profile All‐Dielectric Lens Design Method for Feed Antennas Autor Peng, Ao, Chen, Juan, Mou, Chunhui, Zhang, Lingpu, Nan, Qin

“…ABSTRACT An automatic optimization design method of all‐dielectric lenses for arbitrary feed antennas is presented in this article. The lens 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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Bit-Flipping Scheme Using K-Means Algorithm for Bit-Patterned Media Recording Autor Jeong, Seongkwon, Lee, Jaejin

“…As the need for storing significant amounts of data has increased, an increased areal density (AD) of hard disk drives is required. Bit-patterned media…”
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K-Means Centroid Optimization with Genetic Algorithm for Clustering Micro, Small, Medium Enterprises in Yogyakarta Autor Akbar, Muhammad Faris, Zahrotun, Lisna

“…K-Means is a widely used data clustering algorithm due to its simplicity and fast performance. However, the weakness of K-Means is in determining the cluster…”
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Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources Autor Faraji, Jamal, Hashemi‐Dezaki, Hamed, Ketabi, Abbas

“…Uncertainties of renewable energy sources (RESs) such as wind turbine (WT) and photovoltaic (PV) units are one of the considerable challenges of prosumer…”
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Adaptive fuzzy moving K-means clustering algorithm for image segmentation Autor Isa, N.A.M., Salamah, S.A., Ngah, U.K.

“…Image segmentation remains one of the major challenges in image analysis. Many segmentation algorithms have been developed for various applications…”
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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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Automatic machine learning model for enhanced partition and identification of breast disorders in breast MRI scan Autor Singh, Harendra, Rana, Arun Kumar, Giri, Jayant, Shah, Mohd Asif, Mallik, Saurav, Sathish, T.

“…The rapid identification and categorisation of breast cancers using low-contrast MRI images presents a significant challenge due to the disease's prevalence…”
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