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areyesq89 avatar areyesq89 commented on June 22, 2024

Suena bien, pero tenemos que aterrizar un poco la idea para que la podamos hacer en 2 días. Una opción puede ser la siguiente, un paquetito de R que dada una matriz de datos, haga reducción de dimensiones usando diferentes métodos (PCA, MDS, t-SNE, UMAP, etc). Podríamos imaginarnos un objeto "ReducedDimensions", que guarde los resultados relevantes de cada método de reducción de dimensiones. Un método de ReducedDimensions podría ser el típico scatterplot de dimension 2 vs dimensión 1. ¿Qué piensas @CarlosBarronG?

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CarlosBarronG avatar CarlosBarronG commented on June 22, 2024

Suena buena esa idea @areyesq89 para un primer abordaje, despues de ello podriamos hacer que la funcion lanze de los resultados relevantes, cuales son las variables que mas aportan al metodo para tomarlas como punto de partida para posteriores analisis. ¿que opinas?

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