Matches in SemOpenAlex for { <https://semopenalex.org/work/W3105404747> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W3105404747 endingPage "105725" @default.
- W3105404747 startingPage "105725" @default.
- W3105404747 abstract "Abstract Qualitative pattern recognition methods find important applications in the chemometric sector to extract structured information from complex experimental data. Two main strategies can be distinguished: unsupervised analysis, aimed at investigating on the presence of groupings within the samples analysed, and supervised analysis, aimed at predicting the class membership of new samples. Supervised qualitative methods are, in turn, divided in two families: discriminant and class-modelling methods. The first ones require at least two classes to be defined, while the second ones are suitable also for one-class classification. The features of each strategy, with a focus on advantages and limitations, are described and compared. New trends in the methods, as well as recent attempts to force discriminant methods to behave as class-modelling ones, and vice versa, are also critically presented." @default.
- W3105404747 created "2020-11-23" @default.
- W3105404747 creator A5000774101 @default.
- W3105404747 creator A5047629684 @default.
- W3105404747 creator A5083691449 @default.
- W3105404747 creator A5087862309 @default.
- W3105404747 date "2021-03-01" @default.
- W3105404747 modified "2023-10-18" @default.
- W3105404747 title "Qualitative pattern recognition in chemistry: Theoretical background and practical guidelines" @default.
- W3105404747 cites W112348247 @default.
- W3105404747 cites W1582684391 @default.
- W3105404747 cites W1590708351 @default.
- W3105404747 cites W1981143068 @default.
- W3105404747 cites W1991131679 @default.
- W3105404747 cites W2001619934 @default.
- W3105404747 cites W2002896160 @default.
- W3105404747 cites W2007700184 @default.
- W3105404747 cites W2016335298 @default.
- W3105404747 cites W2022006097 @default.
- W3105404747 cites W2035269383 @default.
- W3105404747 cites W204023882 @default.
- W3105404747 cites W2043468524 @default.
- W3105404747 cites W2048080715 @default.
- W3105404747 cites W2063124492 @default.
- W3105404747 cites W2065847076 @default.
- W3105404747 cites W2066289998 @default.
- W3105404747 cites W2073503722 @default.
- W3105404747 cites W2081480383 @default.
- W3105404747 cites W2094991617 @default.
- W3105404747 cites W2097734292 @default.
- W3105404747 cites W2105532979 @default.
- W3105404747 cites W2106855632 @default.
- W3105404747 cites W2143711478 @default.
- W3105404747 cites W2146884475 @default.
- W3105404747 cites W2152826464 @default.
- W3105404747 cites W2154575973 @default.
- W3105404747 cites W2160642098 @default.
- W3105404747 cites W2164583936 @default.
- W3105404747 cites W2196283285 @default.
- W3105404747 cites W2267885623 @default.
- W3105404747 cites W2334505730 @default.
- W3105404747 cites W2494825511 @default.
- W3105404747 cites W2524136504 @default.
- W3105404747 cites W2536881403 @default.
- W3105404747 cites W2537787114 @default.
- W3105404747 cites W2617947411 @default.
- W3105404747 cites W2751917767 @default.
- W3105404747 cites W2790518806 @default.
- W3105404747 cites W2791256541 @default.
- W3105404747 cites W2807326971 @default.
- W3105404747 cites W2807700364 @default.
- W3105404747 cites W2898534989 @default.
- W3105404747 cites W2902576147 @default.
- W3105404747 cites W2941416737 @default.
- W3105404747 cites W2945715785 @default.
- W3105404747 cites W3010654271 @default.
- W3105404747 cites W3014727571 @default.
- W3105404747 cites W3027636599 @default.
- W3105404747 cites W3028634796 @default.
- W3105404747 cites W3037124116 @default.
- W3105404747 cites W3041921762 @default.
- W3105404747 cites W4232670376 @default.
- W3105404747 cites W61195828 @default.
- W3105404747 cites W65738273 @default.
- W3105404747 doi "https://doi.org/10.1016/j.microc.2020.105725" @default.
- W3105404747 hasPublicationYear "2021" @default.
- W3105404747 type Work @default.
- W3105404747 sameAs 3105404747 @default.
- W3105404747 citedByCount "34" @default.
- W3105404747 countsByYear W31054047472021 @default.
- W3105404747 countsByYear W31054047472022 @default.
- W3105404747 countsByYear W31054047472023 @default.
- W3105404747 crossrefType "journal-article" @default.
- W3105404747 hasAuthorship W3105404747A5000774101 @default.
- W3105404747 hasAuthorship W3105404747A5047629684 @default.
- W3105404747 hasAuthorship W3105404747A5083691449 @default.
- W3105404747 hasAuthorship W3105404747A5087862309 @default.
- W3105404747 hasConcept C185592680 @default.
- W3105404747 hasConceptScore W3105404747C185592680 @default.
- W3105404747 hasLocation W31054047471 @default.
- W3105404747 hasOpenAccess W3105404747 @default.
- W3105404747 hasPrimaryLocation W31054047471 @default.
- W3105404747 hasRelatedWork W1531601525 @default.
- W3105404747 hasRelatedWork W1990781990 @default.
- W3105404747 hasRelatedWork W2314643286 @default.
- W3105404747 hasRelatedWork W2606768298 @default.
- W3105404747 hasRelatedWork W2606769243 @default.
- W3105404747 hasRelatedWork W2606837276 @default.
- W3105404747 hasRelatedWork W2748952813 @default.
- W3105404747 hasRelatedWork W2899084033 @default.
- W3105404747 hasRelatedWork W2948807893 @default.
- W3105404747 hasRelatedWork W2778153218 @default.
- W3105404747 hasVolume "162" @default.
- W3105404747 isParatext "false" @default.
- W3105404747 isRetracted "false" @default.
- W3105404747 magId "3105404747" @default.
- W3105404747 workType "article" @default.