Implementation and Comparative Analysis of k-means and Fuzzy c-means Clustering Algorithms for Tasks Allocation in Distributed Real Time System

Kumar, Harendra; Tyagi, Isha

doi:10.4018/ijertcs.2019040105

Cited by 15 publications

(5 citation statements)

References 18 publications

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“…The famous strategy for assessing the most extreme conceivable result has been the information envelopment analysis (DEA). The subtleties are given underneath (Kumar & Tyagi, 2019). The Information Envelopment Analysis strategy is a boondocks technique that doesn't need particular of a functional structure or a distributional structure, and can oblige scale issues.…”

Section: Information Envelopment Analysismentioning

confidence: 99%

Intervention of data analysis on enterprise crisis management to improve agricultural economy

Yang

2023

J INFORM SYSTEMS ENG

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The creation of a massive amount of data has allowed for a cutting-edge change in farmed item displaying approaches. According to a research of agricultural item advertising channels, the traditional single rural item showcasing channel has stifled the expansion of the horticultural item market in favour of enterprise crisis management, and there are still intermediary connections in the many promoting channels. The process of showcasing indicates a number of steps taken to get a product from its place of manufacture to its intended usage. It entails all of the processes that result in the utility of time, place, structure, and ownership. develop horticultural goods that encourage the use of enterprise crisis management. This research looked at economic surplus, fractional planning, the economic surplus model, and production function analysis. The amount of the paddy study that was predicted occurred in payment, showing a high rate of earnings for the exploration endeavour. additional funding should be set aside for study into these yields in order to boost ranch pay and asset utilisation, and farmers can be encouraged to use additional assortments. Significant factual measures like rates, frequencies, midpoints, and proper tests were utilized for significant examination and translation of the outcomes. The economic surplus because of VCF-0517 paddy assortment worked out to be Rs.5248 crores for the period from 2006 to 2020. In this all-out economic surplus, the maker surplus framed 56.05 percent and staying 43.95 percent was buyer's surplus.

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Section: Information Envelopment Analysismentioning

confidence: 99%

Intervention of data analysis on enterprise crisis management to improve agricultural economy

Yang

2023

J INFORM SYSTEMS ENG

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“…• Input the data to be in Cluster X, data in the form of a matrix of size n x m (n, number of data samples; m, attributes of the data). X ij , data sample of-i (i=1,2...n), attribute of-j (j=1,2...m) [9].…”

Section: B Fuzzy C-meansmentioning

confidence: 99%

Fuzzy C-Means with Borda Algorithm in Cluster Determination System for Food Prone Areas in Aceh Utara

Ula

Yulisda

et al. 2023

Ilk. J. Ilm.

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In this research, the clustering of food prone areas in Aceh Utama is based on the Index Ketahanan Pangan (IKP) indicators compiled by Badan Ketahanan Pangan (BKP) using Fuzzy C-Means (FCM) and Borda algorithms. The fuzzy C-Means algorithm was used to classify food-prone areas with three clusters: very prone, moderately prone, and prone. The Borda algorithm was used to choose the most prone area from very prone clusters, which are considered urgently to be followed up by decision-makers. Based on the research results, it was found that in the aspect of food availability, four sub-districts are moderately prone, 10 are prone, and 13 are very prone. Regarding food affordability, it found that 12 sub-districts are moderately prone, seven are prone, and eight are very prone. Regarding food utilization, one sub-district is moderately prone, three are prone, and 23 are very prone. The results of voting using the Borda algorithm in very prone clusters are obtained Sawang District from the aspect of food availability, Syamtalira Aron District from the aspect of food affordability, and Lapang District from the aspect of food utilization. The clustering system is built based on the web using the PHP programming language.

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“…Generally speaking, similarity and dissimilarity the degree is between [0, 1], and the larger the value, the greater the degree of similarity or dissimilarity. Similarity and dissimilarity reflect two opposite definitions between objects, so they can naturally be transformed into each other through linear transformation and other methods according to the limited requirements of actual data analysis work [19].…”

Section: Related Workmentioning

confidence: 99%

Formation and Diffusion Analysis of Agricultural Product Brand Communication Influence Based on Big Data Fuzzy K-Means Clustering in Convergent Media Era

Xiang-yang

2022

Mobile Information Systems

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In today’s society, with the support of information technology, the media is constantly developing in the direction of integration, which has a profound impact on all aspects of people’s social life. The brand of agricultural products is derived from the definition of brand, based on the differences of production areas, varieties and quality of characteristic agricultural products, and conveyed the information of characteristic agricultural products in the form of trademarks, certification marks, and product packaging. In order to solve the problems existing in the running process of brand promotion system of characteristic agricultural products, the concept of Internet of Things was introduced. The Internet of Things is a network that shows that objects and objects are connected with each other. Customers who use the Internet of Things can communicate and exchange information between any kind of goods. This paper focuses on the content of the improved K-means clustering model based on multibrand communication of agricultural products, expounds the analysis model and scope of agricultural product brand communication, applies the Internet of Things and related technologies to the brand promotion system of characteristic agricultural products, and simulates agricultural product brand communication by using big data fuzzy K-means clustering algorithm. Finally, the calculation of coincidence rate proves that the maximum distance between agricultural product brand communication influence and K-means clustering algorithm is consistent with the JC value of nodes, and the correct rate is as high as 90%. A communication mode that is more in line with the law of brand influence communication of agricultural products.

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Implementation and Comparative Analysis of k-means and Fuzzy c-means Clustering Algorithms for Tasks Allocation in Distributed Real Time System

Cited by 15 publications

References 18 publications

Intervention of data analysis on enterprise crisis management to improve agricultural economy

Intervention of data analysis on enterprise crisis management to improve agricultural economy

Fuzzy C-Means with Borda Algorithm in Cluster Determination System for Food Prone Areas in Aceh Utara

Formation and Diffusion Analysis of Agricultural Product Brand Communication Influence Based on Big Data Fuzzy K-Means Clustering in Convergent Media Era

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