Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297963886> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4297963886 endingPage "13" @default.
- W4297963886 startingPage "1" @default.
- W4297963886 abstract "Traditional texture cluster algorithms are frequently used in engineering; however, despite their widespread application, these algorithms continue to suffer from drawbacks including excessive complexity and limited universality. This study will focus primarily on the analysis of the performance of a number of different texture clustering algorithms. In addition, the performance of traditional texture classification algorithms will be compared in terms of image size, clustering number, running time, and accuracy. Finally, the performance boundaries of various algorithms will be determined in order to determine where future improvements to these algorithms should be concentrated. In the experiment, some traditional clustering algorithms are used as comparative tools for performance analysis. The qualitative and quantitative data both show that there is a significant difference in performance between the different algorithms. It is only possible to achieve better performance by selecting the appropriate algorithm based on the characteristics of the texture image." @default.
- W4297963886 created "2022-10-01" @default.
- W4297963886 creator A5015143018 @default.
- W4297963886 creator A5043452497 @default.
- W4297963886 creator A5048329422 @default.
- W4297963886 creator A5070042498 @default.
- W4297963886 creator A5084900407 @default.
- W4297963886 date "2022-09-29" @default.
- W4297963886 modified "2023-10-18" @default.
- W4297963886 title "Comparative Analysis of the Performance of Complex Texture Clustering Driven by Computational Intelligence Methods Using Multiple Clustering Models" @default.
- W4297963886 cites W1999075329 @default.
- W4297963886 cites W2041090685 @default.
- W4297963886 cites W2063599644 @default.
- W4297963886 cites W2081155276 @default.
- W4297963886 cites W2099835437 @default.
- W4297963886 cites W2108584285 @default.
- W4297963886 cites W2108906526 @default.
- W4297963886 cites W2122471136 @default.
- W4297963886 cites W2138826255 @default.
- W4297963886 cites W2145752049 @default.
- W4297963886 cites W2147141800 @default.
- W4297963886 cites W2158729183 @default.
- W4297963886 cites W2166916666 @default.
- W4297963886 cites W2997186014 @default.
- W4297963886 cites W2997920897 @default.
- W4297963886 cites W4289667358 @default.
- W4297963886 doi "https://doi.org/10.1155/2022/8449491" @default.
- W4297963886 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36210982" @default.
- W4297963886 hasPublicationYear "2022" @default.
- W4297963886 type Work @default.
- W4297963886 citedByCount "1" @default.
- W4297963886 countsByYear W42979638862023 @default.
- W4297963886 crossrefType "journal-article" @default.
- W4297963886 hasAuthorship W4297963886A5015143018 @default.
- W4297963886 hasAuthorship W4297963886A5043452497 @default.
- W4297963886 hasAuthorship W4297963886A5048329422 @default.
- W4297963886 hasAuthorship W4297963886A5070042498 @default.
- W4297963886 hasAuthorship W4297963886A5084900407 @default.
- W4297963886 hasBestOaLocation W42979638861 @default.
- W4297963886 hasConcept C11413529 @default.
- W4297963886 hasConcept C119857082 @default.
- W4297963886 hasConcept C124101348 @default.
- W4297963886 hasConcept C153180895 @default.
- W4297963886 hasConcept C154945302 @default.
- W4297963886 hasConcept C41008148 @default.
- W4297963886 hasConcept C73555534 @default.
- W4297963886 hasConceptScore W4297963886C11413529 @default.
- W4297963886 hasConceptScore W4297963886C119857082 @default.
- W4297963886 hasConceptScore W4297963886C124101348 @default.
- W4297963886 hasConceptScore W4297963886C153180895 @default.
- W4297963886 hasConceptScore W4297963886C154945302 @default.
- W4297963886 hasConceptScore W4297963886C41008148 @default.
- W4297963886 hasConceptScore W4297963886C73555534 @default.
- W4297963886 hasFunder F4320321001 @default.
- W4297963886 hasLocation W42979638861 @default.
- W4297963886 hasLocation W42979638862 @default.
- W4297963886 hasLocation W42979638863 @default.
- W4297963886 hasOpenAccess W4297963886 @default.
- W4297963886 hasPrimaryLocation W42979638861 @default.
- W4297963886 hasRelatedWork W2961085424 @default.
- W4297963886 hasRelatedWork W3046775127 @default.
- W4297963886 hasRelatedWork W3170094116 @default.
- W4297963886 hasRelatedWork W4205958290 @default.
- W4297963886 hasRelatedWork W4285260836 @default.
- W4297963886 hasRelatedWork W4286629047 @default.
- W4297963886 hasRelatedWork W4306321456 @default.
- W4297963886 hasRelatedWork W4306674287 @default.
- W4297963886 hasRelatedWork W4386462264 @default.
- W4297963886 hasRelatedWork W4224009465 @default.
- W4297963886 hasVolume "2022" @default.
- W4297963886 isParatext "false" @default.
- W4297963886 isRetracted "false" @default.
- W4297963886 workType "article" @default.