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Articles · Rebeauty Atlas

HUM AI SOC

AB Abhishek Jain

UML Part 9— Dimensionality Reduction

In today’s data-driven world, we deal with lots of data — sometimes with hundreds or thousands of features (columns). But here’s the catch

Jul 04, 2025 · 2 min read · 1 claps #dimensionality-reduction #unsupervised-learning #feature-selection

ECO AI SCI

AS Assa Trissia Rizal

Data Science in Finance: Dimension Reduction

Tentang Materi

May 04, 2025 · 34 min read · 1 claps #data-science #finance #dimension-reduction

Data Science in Finance: Dimension Reduction

HUM AI TCH

AI A.I Hub · Dev Genius

What is Dimensionality Reduction In Machine Learning ?

Here’s, A comprehensive guide is on the way to learn

Jan 28, 2025 · 6 min read · 19 claps #r #programming #machine-learning

What is Dimensionality Reduction In Machine Learning ?

MKT ECO AI SCI

MU Muhammad Andi Yudha

Feature Extraction using principal component analysis (PCA)

based on a paper that has been published

Sep 21, 2024 · 6 min read · 0 claps paywalled #predictive-analytics #data-mining #data-science

Feature Extraction using principal component analysis (PCA)

AI SCI

CH Christian Burke

UMAP Technique Overview

A quick case study on my experience with dimension reduction studies.

Mar 19, 2024 · 2 min read · 12 claps #umap #ai #dimension-reduction

HUM AI ECO

RS RStudioDataLab · Operations Research Bit

Maximizing Classification Accuracy with Linear Discriminant Analysis in RStudio

In data analysis and machine learning, classification tasks are pivotal in deciphering patterns and making predictions based on labeled…

Feb 11, 2024 · 6 min read · 5 claps #lda #ldainr #dimension-reduction

Maximizing Classification Accuracy with Linear Discriminant Analysis in RStudio

AI

BI Biman Chakraborty · TDS Archive

Nonlinear Dimension Reduction, Kernel PCA (kPCA), and Multidimensional Scaling — An Easy Tutorial…

How to Flatten your Swiss-Roll without Destroying It!!

Dec 11, 2023 · 11 min read · 75 claps paywalled #swiss-roll #dimension-reduction #isomap

Nonlinear Dimension Reduction, Kernel PCA (kPCA), and Multidimensional Scaling — An Easy Tutorial…

HUM MDA AI ECO DSN

CO Connie Zhou

t-Distributed Stochastic Neighbor Embedding (t-SNE) — Part 2

In the realm of machine learning and data visualization, dimensionality reduction plays a pivotal role. Among the various techniques…

Nov 06, 2023 · 2 min read · 49 claps #t-sne-explained #dimension-reduction #machine-learning

t-Distributed Stochastic Neighbor Embedding (t-SNE) — Part 2

HUM MKT AI

GE George Jen

Reconstruct Reverse Principal Component Analysis PCA to Original Raw Dataset.

George Jen, Jen Tek LLC

May 26, 2023 · 3 min read · 17 claps #principal-component #dimension-reduction #machine-learning