SUPPORT VECTOR MACHINE and ANOVA and Decsion Tree and Knn nad PCA and Esemble Methods and clustering and random forest and r learing of mine

these algorhtm by use of grviaty economics formula grvaity based suppprtt vector machcine algorithm oscillator based supprot vector machine algoriith grvaity combine oscillator supoposrt vector machine algorhtm we could adopt these lgorthm from regressions ANAOVA:-> grvaity bsed anova nd oscillation based anova Decsiosn Tree:--> grvaaity bsed decisison tree and oscillator baaed ddecsion tree could adopt these algorithm from regression KNN:-> grviaty KNN algorithm and oscillaator grvaity KNN lgorithm so which point going to close to cluster it would be pint to red by grviaty or osicllton or quntom oscillation or qunatom grviaty by PCA:->grvaity PCA an oscilltor PCA or by use of grvity ecnomic algorithm Esemble methods:->grvity and oscillators clustering :->grvaity naad osscillators random forest :-->grvaity and oscillators reinforcement learning:->grvaity ndd oscillaations

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