spectral-clustering 开源项目推荐（289 个）

kzampog /cilantro

一个用于处理点云数据的轻量级 C++ 库

shobrook /communities

图聚类算法库

wq2012 /SpectralCluster

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

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

Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling".

gionanide /Speech_Signal_Processing_and_Classification

前端语音处理旨在从语音话语的短期片段中提取适当的特征，这些片段称为框架。它是解决任何使用语音或音频（如音乐）模式识别问题的前提步骤。这里，我们关注声音障碍的分类。也就是说，开发两类分类器，能够区分例如声带麻痹患者和健康受试者的话语。人类语音产生系统的数学建模表明，全极系统功能是合理的[1-3]。因此，线性预测系数（LPC）成为建模语音短期频谱幅度的首选。LPC导出的中空系数保证区分系统（如声道）贡献与激发贡献。考虑到人耳特性，mel频率的中频频分相系数（MFCC）成为语音频谱包络的描述特征。与MFCCC类似，感知线性预测系数（PLP）也可以推导。上述说话传统特征将与由交集神经网络（CNN）（例如自编码器）提取的不可知性特征进行测试[4]。模式识别步骤将基于高斯混合模型分类器、K最近邻分类器、贝叶斯分类器以及深度神经网络。马萨诸塞州眼耳医院数据集（MEEI-Dataset）[5]将被利用。在应用层面，将开发一个用于Python特征提取和分类的库。可信的公开资源将被用于实现我们的目标，比如KALDI。将与[6-8]进行比较。

notch-up /diarize

Python 的说话人日志分析——“谁在何时说话？”仅用 CPU、无需 API 密钥、Apache 2.0。在 VoxConverse 上 DER 约为 10.8%，比实时快 8 倍。

erphq /GNN

GATs over event logs. Next-event prediction · bottleneck detection · conformance · Q-learning. PyTorch + PM4Py + Rust (588× on per-case loops).

lucianolorenti /SpectralClustering.jl

Spectral clustering algorithms written in Julia

zhaoyichanghong /machine_learing_algo_python

implement the machine learning algorithms by python for studying

Dref360 /spectral-metric

Code for the CVPR 2019 paper : Spectral Metric for Dataset Complexity Assessment

Jonas1312 /community-detection-in-graphs

Community Detection in Graphs (master's degree short project)

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

Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".

virelay /corelay

CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.

mondalanindya /ICCVW2021_GSCEventMOD

Moving Object Detection for Event-based vision using Graph Spectral Clustering (Python implementation)

abojchevski /rsc

Robust Spectral Clustering. Implementation of "Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings".

waynezhanghk /gactoolbox

Graph Agglomerative Clustering (GAC) toolbox

youweiliang /ConsistentGraphLearning

MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"

Li-Hongmin /MyPaperWithCode

A simple implementation of our paper

huangdonghere /USPEC_USENC

TKDE 2020: Ultra-Scalable Spectral Clustering and Ensemble Clustering (U-SPEC & U-SENC) #large-scale spectral clustering# #large-scale ensemble clustering#

ponimatkin /ssl-vos

[WACV 2023] A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation