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spectral-embedding

Here are 18 public repositories matching this topic...

gionanide / Speech_Signal_Processing_and_Classification

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

Updated Mar 3, 2023
Python

drewwilimitis / Manifold-Learning

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

Updated Mar 5, 2020
Jupyter Notebook

baggepinnen / SpectralDistances.jl

Measure the distance between two spectra/signals using optimal transport and related metrics

spectrum metrics histogram linear-systems dynamic-time-warping spectral-analysis optimal-transport barycentric-coordinates earth-movers-distance spectral-embedding riemannian-manifold wasserstein-distance dynamic-frequency-warping barycenter

Updated Jan 3, 2023
Julia

JAVI897 / Laplacian-Eigenmaps

Implemented Laplacian Eigenmaps

dimensionality-reduction manifold-learning spectral-embedding laplacian-eigenmaps

Updated Oct 7, 2021
Jupyter Notebook

gattia / pyfocusr

graph point-cloud spectral registration graph-theory laplacian pointcloud spectral-embedding

Updated Apr 22, 2024
Python

PyDimRed / PyDimRed

A comparison between some dimension reduction algorithms

pca dimensionality-reduction dimension-reduction isomap spectral-embedding laplacian-eigenmaps random-projection

Updated Nov 1, 2018
Jupyter Notebook

PKU-ML / LaplacianCanonization

Official code for NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".

spectral-embedding laplacian-eigenmaps gnn positional-encoding

Updated Jan 20, 2024
Python

dcellwanger / CellTrails

Mirror of the Bioconductor package CellTrails (http://bioconductor.org/packages/CellTrails/)

clustering data-visualization dimensionality-reduction single-cell spectral-embedding trajectory-inference gene-expression-dynamics

Updated May 11, 2020
R

jgurakuqi / graph-kernels-and-manifold-svm

This project aims to compare the performance obtained using a linear Support Vector Machine model whose data was first processed through a Shortest Path kernel with the same SVM, this time with data also processed by two alternative Manifold Learning techniques: Isomap and Spectral Embedding.

machine-learning multiprocessing svm sklearn artificial-intelligence manifold-learning graph-kernels isomap shortest-path-algorithm spectral-embedding laplacian-eigenmaps

Updated Aug 18, 2023
Jupyter Notebook

Wangchenchen233 / ITPC

Knowledge-Based Systems, Wang, Chenchen, Zhichen Gu, and Jin-Mao Wei. "Spectral clustering and embedding with inter-class topology-preserving." 2024.

spectral-clustering spectral-embedding

Updated Dec 7, 2023
Python

GeorgeMLP / laplacian-canonization

Official code for NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".

spectral-embedding laplacian-eigenmaps gnn positional-encoding

Updated Jan 20, 2024
Python

GeorgeMLP / basis-invariance-synthetic-experiment

Basis invariance synthetic experiment in Appendix D of NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".

spectral-embedding laplacian-eigenmaps gnn positional-encoding

Updated Oct 26, 2023
Python

yousefkotp / Network-Anomaly-Detection

This project focuses on network anomaly detection due to the exponential growth of network traffic and the rise of various anomalies such as cyber attacks, network failures, and hardware malfunctions. This project implement clustering algorithms from scratch, including K-means, Spectral Clustering, Hierarchical Clustering, and DBSCAN

clustering k-means anomaly clustering-algorithm dbscan hierarchical-clustering density-based-clustering anomaly-detection dbscan-clustering unsupervised-machine-learning dendogram spectral-clustering k-means-implementation-in-python k-means-clustering unsupervised-clustering spectral-embedding anomaly-detection-algorithm db-scan anomaly-clustering network-anomaly

Updated Jun 11, 2023
Jupyter Notebook

arjunsawhney1 / face-ML

In this repo, I demonstrate how simple Linear Algebra concepts can be utilized for powerful image element detection applications

linear-algebra pca image-classification image-recognition eigenvectors spectral-embedding laplacian-eigenmaps

Updated Sep 30, 2021
Jupyter Notebook

Sarvandani / Machine_learning_6_algorithms_of_dimensionality_reduction

Sklearn, PCA, t-SNE, Isomap, NMF, Random Projection, Spectral Embedding

machine-learning sklearn pca dimensionality-reduction t-sne nmf isomap spectral-embedding random-projection dimensionality-reduction-algorithms

Updated Jul 7, 2023
Jupyter Notebook

mohashei / Dimensional-Reduction

Applying dimensional reduction techniques to Kepler data.

tsne spectral-embedding

Updated Jan 23, 2018
Jupyter Notebook

hhuang5163 / Book-Author-Clustering

Clustering exploration using the authors dataset

clustering pca-analysis mds tsne nmf unsupervised-machine-learning biclustering spectral-embedding

Updated Jan 7, 2023
Python

Aganonce / py_spec_embed

Python implementation of network spectral embedder.

python clustering network-analysis spectral-embedding

Updated Jul 6, 2023
Python

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