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An efficient approach for trajectory classification using FCM and SVM

Research article (2017 IEEE Region 10 Symposium (TENSYMP), 2017) · cited 13× · AI/ML
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Summary

An efficient approach for trajectory classification using FCM and SVM is a scholarly article[1].

Key Facts

  • An efficient approach for trajectory classification using FCM and SVM's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An efficient approach for trajectory classification using FCM and SVM. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-approach-for-trajectory-classification-using-fcm-and-svm
MLA “An efficient approach for trajectory classification using FCM and SVM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-approach-for-trajectory-classification-using-fcm-and-svm.
BibTeX @misc{4ortxyz_an-efficient-approach-for-trajectory-classification-using-fcm-and-svm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient approach for trajectory classification using FCM and SVM}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-approach-for-trajectory-classification-using-fcm-and-svm}, note = {Accessed: 2026-05-24}}
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