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Advanced Search Results For "K-means clustering"

1 - 10 of 11,272 results for
 "K-means clustering"
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Multi-user-oriented manufacturing service scheduling with an improved NSGA-II approach in the cloud manufacturing system.

Publication Type: Academic Journal

Source(s): International Journal of Production Research. Apr2022, Vol. 60 Issue 8, p2425-2442. 18p. 7 Diagrams, 10 Charts, 2 Graphs.

Abstract: Manufacturing service scheduling (MSS) is an important step in managing the social resource services in the cloud manufacturing (CMfg) system. However, recent research investigates the problem almost from the task level, and little research considers t...

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A hybrid learning-based meta-heuristic algorithm for scheduling of an additive manufacturing system consisting of parallel SLM machines.

Publication Type: Academic Journal

Source(s): International Journal of Production Research; Oct2022, Vol. 60 Issue 20, p6205-6225, 21p, 12 Diagrams, 6 Graphs

Abstract: Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However,...

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Malware recognition approach based on self‐similarity and an improved clustering algorithm.

Publication Type: Academic Journal

Source(s): IET Software (Wiley-Blackwell). Oct2022, Vol. 16 Issue 5, p527-541. 15p.

Abstract: The recognition of malware in network traffic is an important research problem. However, existing solutions addressing this problem rely heavily on the source code and misrecognise vulnerabilities (i.e. incur a high false positive rate (FPR)) in some c...

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A New Model for Failure Mode and Effects Analysis Based on k -Means Clustering Within Hesitant Linguistic Environment.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Engineering Management. Oct2022, Vol. 69 Issue 5, p1837-1847. 11p.

Abstract: Failure mode and effects analysis (FMEA) is a systematic and proactive risk prevention and management tool used to improve the reliability and safety of a system, process or service. However, many defects around the traditional FMEA affect the effectiv...

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CVDP k-means clustering algorithm for differential privacy based on coefficient of variation.

Publication Type: Academic Journal

Source(s): Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 5, p6027-6045. 19p.

Abstract: Data clustering has been applied and developed in all walks of life, which can provide convenience for enterprise service optimization. However, when the original data to be analyzed contains users' personal privacy information, the clustering analysis...

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Improved K‐means algorithm for clustering non‐spherical data.

Publication Type: Academic Journal

Source(s): Expert Systems. Nov2022, Vol. 39 Issue 9, p1-23. 23p.

Abstract: As one of the commonly used data mining algorithms, K‐means has the advantage of fast clustering speed, but the disadvantage is that it is less effective for clustering non‐spherical data. An improved K‐means algorithm (IK‐means) is proposed to enhance...

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Feeder selection method for full cable networks earth faults based on improved K‐means.

Publication Type: Academic Journal

Source(s): IET Generation, Transmission & Distribution (Wiley-Blackwell). Oct2022, Vol. 16 Issue 19, p3837-3848. 12p.

Abstract: To improve the accuracy of earth faults feeder selection in full cable networks under different fault conditions, an improved K‐means algorithm for earth faults feeder selection in full cable networks is proposed. Firstly, the transient zero‐sequence n...

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A clustering method combining multiple range tests and K-means.

Publication Type: Academic Journal

Source(s): Communications in Statistics: Theory & Methods. 2022, Vol. 51 Issue 21, p7322-7339. 18p.

Abstract: This paper explores possibilities of applying multiple comparison tests (MCTs) that are commonly used in statistics to group the means once the analysis of variance (ANOVA) procedure rejects the hypothesis that all the means are equal. It is proposed h...

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Performance analysis of clustering methods for balanced multi-robot task allocations.

Publication Type: Academic Journal

Source(s): International Journal of Production Research; Jul2022, Vol. 60 Issue 14, p4576-4591, 16p, 2 Diagrams, 7 Charts, 7 Graphs

Abstract: Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However,...

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Mining e-learning interactions using K-Means clustering.

Publication Type: Conference

Source(s): AIP Conference Proceedings. 2022, Vol. 2644 Issue 1, p1-8. 8p.

Abstract: Most of the higher learning institutions are shifting to e-learning platforms as a practical medium to impart knowledge. Therefore, in line with the increasing use of e-learning, it is necessary to analyze students' learning interactions and learning p...

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