locally-linear-embedding

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gionanide /Speech_Signal_Processing_and_Classification

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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

UpdatedMar 3, 2023
Python

drewwilimitis /Manifold-Learning

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Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

python dimensionality-reduction manifold-learning isomap multidimensional-scaling spectral-embedding laplacian-eigenmaps locally-linear-embedding

UpdatedMar 5, 2020
Jupyter Notebook

bghojogh /Generative-LLE

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The code for Generative Locally Linear Embedding (GLLE).

generative-model factor-analysis variational-inference probabilistic-pca locally-linear-embedding

UpdatedNov 4, 2021
Python

OguzhanUlucan /Image-Fusion-Through-Linear-Embeddings-IEEE-ICIP-21

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Official code of Image Fusion Through Linear Embeddings (IEEE ICIP 21)

matlab image-processing ieee hdri image-fusion image-enhancement locally-linear-embedding multi-exposure-fusion icip2021

UpdatedNov 11, 2021
MATLAB

bghojogh /Locally-Linear-Image-Structural-Embedding

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The code for Locally Linear Image Structural Embedding (LLISE) and Kernel LLISE

kernel-methods ssim locally-linear-embedding structural-similarity-index

UpdatedJun 12, 2020
Python

mpolinowski /manifold-learning-for-image-segmentation

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Use Manifold Learning, Mapping and Discriminant Analysis to Visualize Image Datasets

python scikit-learn image-segmentation principal-component-analysis isomap fisher-discriminant-analysis locally-linear-embedding

UpdatedApr 15, 2023
Jupyter Notebook

mohammad95labbaf /UMAP_breast_cancer

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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