Research on fast marking method for indicator diagram of pumping well based on K-means clustering

Wang, Xiang; Shao, Zhiwei; Shen, Yancen; He, Yanfeng

doi:10.1016/j.heliyon.2023.e20468

Cited by 5 publications

(1 citation statement)

References 36 publications

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“…This iterative process persists until no more items are left to designate as new clusters. The primary objective of the algorithm is to optimize the grouping of items into clusters, refining the centroids with each iteration (Niu et al, 2021;Sinan et al, 2023;Wang et al, 2023).…”

Section: K-means Clustering Methodsmentioning

confidence: 99%

K-Means Algorithm Method for Clustering Best-Selling Product Data at XYZ Grocery Stores

Ridzki,

Hadijah,

Mukidin

et al. 2023

IJSSR

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This study aims to utilize the K-means clustering algorithm in data mining to categorize sales data at XYZ Grocery store. The research is essential for understanding sales patterns and enhancing inventory management strategies. The research methodology involves implementing the K-means clustering algorithm to generate centroid values for each cluster, thereby creating groups of products based on their sales performance. The findings of this study are expected to provide insights into sales trends at the store. While the abstract provides a general overview, specific results and contributions of this research are not detailed. Further studies could offer a more in-depth understanding of the practical applications of these findings in improving store management and inventory control.

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Section: K-means Clustering Methodsmentioning

confidence: 99%

K-Means Algorithm Method for Clustering Best-Selling Product Data at XYZ Grocery Stores

Ridzki,

Hadijah,

Mukidin

et al. 2023

IJSSR

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Effect of liquid level monitor gas injection point size on information source amplitude-frequency characteristics

Liu,

Quan,

et al. 2024

Sci Rep

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In order to analyse the effect of the injection point size of the CBM (Coalbed Methane) well level monitor on the amplitude and frequency of pressure pulsations in the wellhead manifold, numerical simulations and experiments were carried out to investigate the effect of different injection point sizes on the amplitude and frequency of pressure pulsations downstream of the sudden expansion structure. Using compressed air as the fluid and the size of the injection point as the variable, the amplitude and frequency of pressure pulsations at different locations downstream of the sudden expansion structure were tested. The results show that the pressure pulsation amplitude is affected by the size of the injection point, and the larger the injection point is, the larger the pressure pulsation amplitude is; the size of the injection point has less influence on the pressure pulsation frequency downstream of the protruding and expanding structure, and the pressure pulsation frequency at 0.5 m and 1 m downstream of the protruding and expanding structure is in the vicinity of 76 Hz. Therefore, the echo signal processing should be filtered around this frequency to obtain accurate liquid level echo signals, so as to improve the accuracy of liquid level monitoring and realise the efficient development of coalbed methane wells.

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Enhancing municipal solid waste management efficiency through clustering: A case study

Çіl,

Karaer,

Salihoglu

et al. 2024

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Research on fast marking method for indicator diagram of pumping well based on K-means clustering

Cited by 5 publications

References 36 publications

K-Means Algorithm Method for Clustering Best-Selling Product Data at XYZ Grocery Stores

K-Means Algorithm Method for Clustering Best-Selling Product Data at XYZ Grocery Stores

Effect of liquid level monitor gas injection point size on information source amplitude-frequency characteristics

Enhancing municipal solid waste management efficiency through clustering: A case study

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