Projects in Awesome Lists tagged with kernel-pca

A curated list of projects in awesome lists tagged with kernel-pca .

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https://github.com/lucko515/dataset-dimensionality-reduction-python

Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.

dimensionality-reduction kernel-pca lda machine-learning pca tsne

Last synced: 14 Apr 2025

https://github.com/ethanjameslew/psu_stat672

Notes, homework and project for PSU's STAT 672 Winter 2020

clustering gaussian-processes kernel-kmeans kernel-pca lyapunov-functions machine-learning mvn pca

Last synced: 16 Jun 2025

https://github.com/kisoo95/dacon-monthly-dacon-credit-card-fraud-deal-detection-ai-competition

Winning one of the DACON competition

dacon isolation-forest kernel-pca pacmap

Last synced: 17 Mar 2025

https://github.com/mehrab-kalantari/news-clustering

Applying NLP methods and kernel PCA on news dataset to build a clustering model

clustering dimensionality-reduction k-means-clustering kernel-pca kmeans-clustering nlp nlp-machine-learning

Last synced: 20 Apr 2026

https://github.com/zhenye-na/npca

📃 Exploration of Nonlinear Component Analysis as a Kernel Eigenvalue Problem

kernel-pca pca

Last synced: 28 Feb 2025

https://github.com/mohammad95labbaf/umap_breast_cancer

This repository explores the interplay between dimensionality reduction techniques and classification algorithms in the realm of breast cancer diagnosis. Leveraging the Breast Cancer Wisconsin dataset, it assesses the impact of various methods, including PCA, Kernel PCA, LLE, UMAP, and Supervised UMAP, on the performance of a Decision Tree.

breast-cancer-wisconsin decision-tree decision-tree-classifier dimensionality-reduction dimensionality-reduction-technique eda expolatory-data-analysis kernel-pca lle locally-linear-embedding principal-component-analysis umap