spectral-clustering

There are 8 repositories under spectral-clustering topic.

kzampog / cilantro
A lean C++ library for working with point cloud data
point-cloud icp ransac convex-hull 3d-visualization k-means pca segmentation rgbd registration iterative-closest-point mds mean-shift spectral-clustering clustering non-rigid-registration convex model-fitting reconstruction 3d
Language:C++ 981
shobrook / communities
Library of community detection algorithms and visualization tools
bron-kerbosch-algorithm community community-detection girvan-newman-algorithm graph graph-algorithms louvain spectral-clustering
Language:Python 697
SpectralCluster
wq2012 / SpectralCluster
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
machine-learning clustering spectral-clustering unsupervised-learning speaker-diarization unsupervised-clustering python constrained-clustering auto-tune
Language:Python 490
Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
graph-neural-networks graph-pooling spectral-clustering unsupervised-learning
Language:Python 255
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 discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].
speech-processing mfcc linear-prediction-coefficients classifier speech-utterance feature-extraction support-vector-machines gaussian-mixture-models long-short-term-memory principal-component-analysis kernel-pca linear-discriminant-analysis isomap locally-linear-embedding spectral-embedding spectral-clustering natural-language-processing nlp nltk
Language:Python 230
lucianolorenti / SpectralClustering.jl
Spectral clustering algorithms written in Julia
clustering spectral-clustering julia spectral-clustering-algorithm
Language:Julia 48
Dref360 / spectral-metric
Code for the CVPR 2019 paper : Spectral Metric for Dataset Complexity Assessment
dataset-analysis spectral-clustering
Language:Python 44
zhaoyichanghong / machine_learing_algo_python
implement the machine learning algorithms by python for studying
machine-learning deep-learning neural-network kmeans gaussian-mixture-models linear-discriminant-analysis support-vector-machines principal-component-analysis linear-regression logistic-regression adaboost gaussian-discriminant-analysis k-nearest-neighbor decision-tree gbdt rbf-network spectral-clustering collaborative-filtering tf-idf isolation-forest
Language:Python 44
Jonas1312 / community-detection-in-graphs
Community Detection in Graphs (master's degree short project)
bethe-hessian spectral-clustering stochastic-block-model
Language:Python 39
FilippoMB / Simplifying-Clustering-with-Graph-Neural-Networks
Tensorflow and Pytorch implementation of "Just Balance GNN" for graph clustering.
graph-neural-networks spectral-clustering graph-clustering
Language:Python 29
waynezhanghk / gactoolbox
Graph Agglomerative Clustering (GAC) toolbox
clustering graph dbscan spectral-clustering deep-clustering image-clustering
Language:C++ 26
abojchevski / rsc
Robust Spectral Clustering. Implementation of "Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings".
embeddings graphs noisy robust spectral-clustering
Language:Jupyter Notebook 25
virelay / corelay
CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.
xai interpretability python machine-learning spectral-clustering pipeline-framework
Language:Python 25
mondalanindya / ICCVW2021_GSCEventMOD
Moving Object Detection for Event-based vision using Graph Spectral Clustering (Python implementation)
detection moving-object-detection event-based-camera event-based-surveillance clustering graph-algorithms spectral-clustering eigenvalues eigenvectors graph-signal-processing
Language:Jupyter Notebook 23
ponimatkin / ssl-vos
[WACV 2023] A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
self-supervised-learning spectral-clustering video-object-detection video-object-segmentation object-discovery
Language:Python 22
huangdonghere / USPEC_USENC
TKDE 2020: Ultra-Scalable Spectral Clustering and Ensemble Clustering (U-SPEC & U-SENC) #large-scale spectral clustering# #large-scale ensemble clustering#
bipartite-graphs consensus-clustering ensemble-clustering large-scale-clustering large-scale-ensemble-clustering large-scale-spectral-clustering spectral-clustering
Language:MATLAB 21
Li-Hongmin / MyPaperWithCode
A simple implementation of our paper
matlab spectral-clustering large-scale papers-with-code
Language:MATLAB 21
FilippoMB / Total-variation-graph-neural-networks
Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
clustering graph-neural-network spectral-clustering graph-clustering total-variation-loss community-detection graph-pooling unsupervised-learning
Language:Python 20
waynezhanghk / gacluster
Graph Agglomerative Clustering Library
clustering image-clustering spectral-clustering graph-clustering community-detection fashion-mnist mnist agglomerative-clustering hierarchical-clustering deep-clustering clustering-evaluation k-means unsupervised-learning spectral-clustering-algorithm dbscan
Language:MATLAB 20
youweiliang / ConsistentGraphLearning
MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
clustering clustering-algorithm graph-learning spectral-clustering multi-view-clustering multiview-learning multiview-clustering
Language:MATLAB 18
cshaowang / pic
Spectral Perturbation Meets Incomplete Multi-view Data
multi-view-clustering spectral-clustering multi-view incomplete-multi-view-clustering
Language:MATLAB 17
PranavPutsa1006 / Speaker-Diarization
Identifying individual speakers in an audio stream based on the unique characteristics found in individual voices using Python
deep-learning neural-networks speaker-diarization embeddings-extraction mfcc voice-activity-detection speech-detection speech-segmentation spectral-clustering speech-transcription speech-to-text
Language:Jupyter Notebook 15
crisbodnar / regularised-spectral-clustering
Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance
spectral-clustering clustering regularised-spectral-clustering graph conductance python community-detection network
Language:Jupyter Notebook 14
saman-nia / Deep-Neural-Networks-for-Clustering
Deep Learning Clustering with Tensor-Flow in Python
deep-learning deep-neural-networks machine-learning k-means-clustering spectral-clustering autoencoder-clustering autoencoder tensorflow tensorflow-tutorials tensorflow-experiments tensorflow-examples tensorflow-models tensorboard
Language:Jupyter Notebook 13
jermwatt / spectral-clustering-demo
A fun review of spectral clustering with MATLAB demos I made for the NU machine learning meetiup in 2014
spectral-clustering clustering-algorithm lecture-notes matlab
Language:MATLAB 12
microsoft / ISLE
This repository provides code for SVD and Importance sampling-based algorithms for large scale topic modeling.
topic-modeling spectral-clustering svd randomized-algorithm sampling-methods linear-algebra unsupervised-learning
Language:C++ 12
bo1929 / MuDCoD
MuDCoD: Multi-subject Dynamic Community Detection
community-detection dynamic-networks network-science single-cell single-cell-rna-seq spectral-clustering
Language:Python 10
imtiazziko / Variational-Fair-Clustering
Variational Fair clustering
clustering fairness-ml k-means-clustering spectral-clustering normalized-cuts bound-optimization
Language:Python 10
UCD4IDS / MultiscaleGraphSignalTransforms.jl
MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processing including HGLET, GHWT, eGHWT, NGWP, Lapped NGWP, and Lapped HGLET. Some of them were originally written in MATLAB by Jeff Irion, but we added more functionalities, e.g., eGHWT, NGWP, etc.
adapted-time-frequency-analysis eghwt ghwt graph-laplacian graph-signal-processing hglet lapped-orthogonal-transform multiscale-basis-dictionaries ngwp spectral-clustering the-best-basis-algorithm wavelets-on-graphs
Language:Julia 9
JoshuaDBruton / SparseCoefficientClustering
Spectral Clustering on the Sparse Coefficients of Learned Dictionaries - Published in SIVP
dictionary-learning spectral-clustering python hyperspectral-images
Language:Python 8
salimandre / graph-clustering
unsupervised clustering, generative model, mixed membership stochastic block model, kmeans, spectral clustering, point cloud data
spectral-clustering mmsbm spectral-clustering-algorithm generative-data node-classification mixed-membership-stochastic-block graph-algorithm graph-theory
Language:Python 8
crj32 / Spectrum
Density adaptive spectral clustering for single or multi-view data
clustering spectral-clustering
Language:R 7
limsm3 / spectral_clustering
python-based spectral clustering Image segmentation algorithm - Based on Malik and Shi (2000); Ncut not applied
spectral-clustering image-segmentation image-processing spectral-analysis
Language:Jupyter Notebook 7
ftudisco / nonlinear-core-periphery
Code used for the paper "A nonlinear spectral method for core-periphery detection in networks" by F. Tudisco and D. J. Higham
core-periphery spectral-clustering
Language:MATLAB 6
jia-yi-chen / Social-Media-Mining
Python Implementation of algorithms in Social Media Mining, e.g., Recommendation, Collaborative Filtering, Community Detection, Spectral Clustering, Modularity Maximization, co-authorship networks.
graph-mining recommendation collaborative-filtering spectral-clustering community-detection modularity-maximization
Language:Python 6
yuzhenfeng2002 / Predicting-for-Each-Dynamic-Ridepooling-Order-on-Grid-Network
Codes in this repository are aimed to implement the prediction & simulation of the mathematical model in the paper [https://doi.org/10.1016/j.trb.2021.10.005] on a grid network and try to divide ODs into several clusters to accelerate the process.
ride-sharing sharing-economy fixed-point-iteration spectral-clustering
Language:C++ 6

spectral-clustering

kzampog / cilantro

shobrook / communities

wq2012 / SpectralCluster

FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling

gionanide / Speech_Signal_Processing_and_Classification

lucianolorenti / SpectralClustering.jl

Dref360 / spectral-metric

zhaoyichanghong / machine_learing_algo_python

Jonas1312 / community-detection-in-graphs

FilippoMB / Simplifying-Clustering-with-Graph-Neural-Networks

waynezhanghk / gactoolbox

abojchevski / rsc

virelay / corelay

mondalanindya / ICCVW2021_GSCEventMOD

ponimatkin / ssl-vos

huangdonghere / USPEC_USENC

Li-Hongmin / MyPaperWithCode

FilippoMB / Total-variation-graph-neural-networks

waynezhanghk / gacluster

youweiliang / ConsistentGraphLearning

cshaowang / pic

PranavPutsa1006 / Speaker-Diarization

crisbodnar / regularised-spectral-clustering

saman-nia / Deep-Neural-Networks-for-Clustering

jermwatt / spectral-clustering-demo

microsoft / ISLE

bo1929 / MuDCoD

imtiazziko / Variational-Fair-Clustering

UCD4IDS / MultiscaleGraphSignalTransforms.jl

JoshuaDBruton / SparseCoefficientClustering

salimandre / graph-clustering

crj32 / Spectrum

limsm3 / spectral_clustering

ftudisco / nonlinear-core-periphery

jia-yi-chen / Social-Media-Mining

yuzhenfeng2002 / Predicting-for-Each-Dynamic-Ridepooling-Order-on-Grid-Network