isomap 开源项目推荐（54 个）

drewwilimitis /Manifold-Learning

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

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。

saehm /DruidJS

A JavaScript Library for Dimensionality Reduction

wildart /ManifoldLearning.jl

A Julia package for manifold learning and nonlinear dimensionality reduction

tracy-talent /curriculum

a repository for my curriculum project

tejasnp163 /Dimensionality-Reduction-on-Wine-Dataset

Performed different tasks such as data preprocessing, cleaning, classification, and feature extraction/reduction on wine dataset.

Pradnya1208 /Dimensionality-Reduction-Techniques

The goal of this project is to understand and build various dimensionality reduction techniques.

majdjamal /manifold_learning

Showcasing Manifold Learning with ISOMAP, and compare the model to other transformations, such as PCA and MDS.

matteo-serafino /dimensionality-reduction-package

Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.

PyDimRed /PyDimRed

A comparison between some dimension reduction algorithms

AniKar /AE_Vis

Autoencoder model implementation in Keras, trained on MNIST dataset / latent space investigation.

jasonfilippou /DimReduce

Implementations of 3 linear and non-linear dimensionality reduction algorithms

bghojogh /MDS-SammonMapping-Isomap

The code for Multidimensional Scaling (MDS), Sammon Mapping, and Isomap.

GioStamoulos /Kmers_Dataset_Generation_Regression_Clustering

The generation of a kmers dataset that is associated with multiple gene sequences and the further manipulation of this generated dataset are the main contents of the current project.

MJAHMADEE /VAE

Variational Autoencoder

mhounslow /naive-bayes-pca-mds

Implementations of MAP, Naive Bayes, PCA, MDS, ISOMAP and some compression

Arijit1000 /ISOMAP-implementation

The main objective of this project is dimensionality reduction. We do dimensional reduction for reducing memory size and complexity of the model.

jonzia /Manifold

Manifold mapping with ISOMAP (MATLAB).

chris-santiago /decomposition

Simple ISOMAP and PCA decomposition algorithms

Sagarnandeshwar /Visualizing_High_Dimensional_Data

Applied Machine Learning (COMP 551) Course Project