An effective feature subset selection approach based on Jeffries-Matusita distance for multiclass problems
Summary
An effective feature subset selection approach based on Jeffries-Matusita distance for multiclass problems is a scholarly article[1].
Key Facts
An effective feature subset selection approach based on Jeffries-Matusita distance for multiclass problems's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). An effective feature subset selection approach based on Jeffries-Matusita distance for multiclass problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-feature-subset-selection-approach-based-on-jeffries-matusita-distance-for-multiclass-problems
MLA“An effective feature subset selection approach based on Jeffries-Matusita distance for multiclass problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-feature-subset-selection-approach-based-on-jeffries-matusita-distance-for-multiclass-problems.
BibTeX@misc{4ortxyz_an-effective-feature-subset-selection-approach-based-on-jeffries-matusita-distance-for-multiclass-problems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective feature subset selection approach based on Jeffries-Matusita distance for multiclass problems}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-feature-subset-selection-approach-based-on-jeffries-matusita-distance-for-multiclass-problems}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An effective feature subset selection approach based on Jeffries-Matusita distance for multiclass problems — https://4ort.xyz/entity/an-effective-feature-subset-selection-approach-based-on-jeffries-matusita-distance-for-multiclass-problems (retrieved 2026-05-24)
