[NeurIPS 2024] Kernel PCA for Out-of-Distribution Detection
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Mar 27, 2025 - Python
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kernel-pca
Here are 41 public repositories matching this topic...
Re-Implementation of Gaussian Process Latent Variable Model algorithm & performance assessment against Kernel-PCA
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Oct 9, 2024 - Python
Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.
clustering pca dimensionality-reduction t-sne mds lda factor-analysis umap isomap kernel-pca truncated-svd
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Sep 14, 2024 - Python
This repository implements customer segmentation techniques to analyze credit card user behavior and identify distinct customer groups. By leveraging Python libraries like pandas, Scipy and scikit-learn.
python pca kmeans tsne dbscan agglomerative-clustering kernel-pca hirarchical-clustering gaussian-mixture-clustering
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Apr 18, 2024 - Jupyter Notebook
Houses a series of projects I worked on for a course in Data Mining that I took in my Ph.D. Data Science program at UTEP in the Fall of 2022. Covers areas such as Regularized Logistic Regression, Optimization, Kernel Methods, PageRank, Kernel PCA, Association Rule Mining, Anomaly Detection, Parametric/Nonparametric Nonlinear Regression, etc.
random-forest pagerank regression mars artificial-neural-networks gam kernel-methods support-vector-machines generalized-additive-models anomaly-detection kernel-pca regression-splines smoothing-splines association-rule-mining regularized multivariate-adaptive-regression-splines projection-pursuit-regression parametric-nonlinear-regression nonparametric-nonlinear-regression
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Feb 8, 2024
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.
eda dimensionality-reduction lle decision-tree principal-component-analysis decision-tree-classifier breast-cancer-wisconsin umap kernel-pca locally-linear-embedding dimensionality-reduction-technique expolatory-data-analysis
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Jan 26, 2024 - Jupyter Notebook
This repository is dedicated to the lab activities of the course of Unsupervised Learning @Units
python clustering pca scratch unsupervised-learning density-estimation hierarchical-clustering isomap kernel-pca
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Jan 23, 2024 - Jupyter Notebook
Winning one of the DACON competition
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Jan 13, 2024 - Jupyter Notebook
Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.
linear-regression generative-adversarial-network naive-bayes-classifier neural-networks expectation-maximization gaussian-mixture-models logistic-regression kernel-methods unsupervised-learning autoencoders principal-component-analysis maximum-likelihood-estimation maximum-a-posteriori-estimation k-means-clustering kernel-pca gaussian-bayesian-networks
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Jan 7, 2024 - Python
The code for Principal Component Analysis (PCA), dual PCA, Kernel PCA, Supervised PCA (SPCA), dual SPCA, and Kernel SPCA
kernel-methods principal-component-analysis kernel-pca supervised-pca dual-pca kernel-supervised-pca
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Nov 18, 2023 - Python
Applying NLP methods and kernel PCA on news dataset to build a clustering model
nlp clustering dimensionality-reduction nlp-machine-learning kmeans-clustering k-means-clustering kernel-pca
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Sep 5, 2023 - Jupyter Notebook
Machine Learning assignments from coursework.
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Aug 16, 2023 - Jupyter Notebook
This repository contains the Python code my blog post Image denoising techniques: A comparison of PCA, kernel PCA, autoencoder, and CNN. See post for more details and results.
machine-learning image-processing cnn pca autoencoder convolutional-neural-networks image-denoising kernel-pca
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Jul 2, 2023 - Python
5th semester project concerning feature engineering and nonlinear dimensionality reduction in particular.
machine-learning computer-vision mnist dimensionality-reduction logistic-regression feature-engineering convolutional-neural-network principal-component-analysis linear-discriminant-analysis isomap kernel-pca
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Jun 6, 2023 - Jupyter Notebook
UML dimensionality reduction and clustering models for predicting if a banknote is genuine or not based on the dataset from OpenML containing wavelet analysis results for genuine and forged banknotes - practical exercise. (Python 3)
python clustering jupyter-notebook python3 dimensionality-reduction k-means unsupervised-learning tsne dbscan dimension-reduction wavelets dbscan-clustering unsupervised-machine-learning wavelet-analysis k-means-clustering agglomerative-clustering kernel-pca banknote-authentication banknote-forgery banknotes-authenticity
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Apr 22, 2023 - Jupyter Notebook
Complete Tutorial Guide with Code for learning ML
natural-language-processing random-forest svm scikit-learn artificial-neural-networks logistic-regression ucb polynomial-regression kmeans-clustering knearest-neighbor-algorithm apriori-algorithm classification-methods svr kernel-svm kernel-pca heirarchical-clustering decison-trees
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Apr 21, 2023 - Python
Project on Non-Linear Dimensionality Reduction - ENSAE ParisTech
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Apr 7, 2023 - Jupyter Notebook
My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin
hmm kde clustering som pca expectation-maximization lle mixture-model density-estimation ica kernel-pca
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Mar 23, 2023 - TeX
Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can…
nlp classifier natural-language-processing feature-extraction nltk gaussian-mixture-models support-vector-machines mfcc principal-component-analysis speech-processing linear-discriminant-analysis isomap spectral-clustering long-short-term-memory kernel-pca spectral-embedding locally-linear-embedding linear-prediction-coefficients speech-utterance
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Mar 3, 2023 - Python
K-means, Spectral clustering, PCA, and Kernel PCA
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Jan 10, 2023 - Jupyter Notebook
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