Steward and Tian (1999)identified the weed locations by using K-means clustering algorithm to cluster the individual pixel with a class of similar pixel based on their colour attributes. Their algorithm used two
method of Technical Analysis, K-means clustering algorithm, and Mean-Variance portfolio optimization model was proposed in this paper. The study aims to integrate these three important analyses to come up with the best portfolio. This paper uses the average annual risk and an annual rate of retur...
A sampling-pso-k-means algorithm for document clustering. KAMEL N,OUCHEN I,BAALI K. . 2014Nadjet Kamel, Imane Ouchen, Karim Baali, "A Sampling PSOKmeans Algorithm for Document Clustering", Advances in Intelligent Systems and Computing, Springer, 45-54, 2013....
Overview of the proposed hybrid oil price prediction model. This flowchart illustrates the three-phase training process: initial training of the DSD-LSTM model, application of the K-means algorithm to form clusters within the data, and subsequent fine-tuning of duplicated DSD-LSTM models for each ...
Fig.1 K meansclusteringflowchartbasedonimproved particleswarmoptimization 系统 为 WindowsXP ,程序调试及运行软件为 Matlab7.0. 3.1 测试数据 UCI 是数据挖掘中公共测试数据集,它广泛被全 世界的学生,教育者以及研究者作为机器学习源数据 的数据集 . 它已经被引用超过了 1000 多次,在计算机 科学上成为了世界前 ...
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering. The process that groups similar items within a dataset into non-overlappi...
2.1. Data Mining K-Means Algorithm The K-means algorithm is a basic and most widely used division method among clustering analysis methods. It is a method of discovering clusters and cluster centers in unclassified labeled data [9]. Its main advantage is that the algorithm is simple and fast...
K-meansclusteringparticleswarmalgorithm[J].PeriodicalofOceanUniversityofChina,2025,55(4):134-147.海洋工 程 结 构 是 海 洋 油 气、矿 产 及 海 上 风 能 等 资 源开发利用的重要基础性设施,具有服役周期长、营运 环境复杂和作 业 条 件 恶 劣 等 特 点,在 风、浪、流 等 环 境 荷载及船舶 ...
SVM machine learning GLCM algorithm K-means clustering LBP 1. Introduction Agriculture is an essential core sector that provides livelihood to the world population. Most of the population depends on agricultural crop production. Almost 75% of people are getting life resources from agriculture, but at...
In this study, the mapping accuracy of the k-means algorithm was improved in three ways: similarity measurement methods that are insensitive to dimensions are used instead of the Euclidean distance for clustering; the spectral absorption features of minerals are enhanced; and the mineral mapping ...