Home › Entities › academia › Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry

Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry

Research article (SN Applied Sciences, 2021) · cited 24× · AI/ML
academia openalex:W3163160751
Press Enter · cited answer in seconds

Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry

Summary

Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry is a scholarly article[1].

Key Facts

  • Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry. Retrieved May 24, 2026, from https://4ort.xyz/entity/fuzzy-particle-swarm-optimization-fpso-based-feature-selection-and-hybrid-kernel-distance-based-possibilistic-fuzzy-loca
MLA “Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fuzzy-particle-swarm-optimization-fpso-based-feature-selection-and-hybrid-kernel-distance-based-possibilistic-fuzzy-loca.
BibTeX @misc{4ortxyz_fuzzy-particle-swarm-optimization-fpso-based-feature-selection-and-hybrid-kernel-distance-based-possibilistic-fuzzy-loca_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry}}, year = {2026}, url = {https://4ort.xyz/entity/fuzzy-particle-swarm-optimization-fpso-based-feature-selection-and-hybrid-kernel-distance-based-possibilistic-fuzzy-loca}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry — https://4ort.xyz/entity/fuzzy-particle-swarm-optimization-fpso-based-feature-selection-and-hybrid-kernel-distance-based-possibilistic-fuzzy-loca (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/fuzzy-particle-swarm-optimization-fpso-based-feature-selection-and-hybrid-kernel-distance-based-possibilistic-fuzzy-loca · Last refreshed: