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Topic: "t-distributed-stochastic"

RezaSaadatyar/Machine-Learning-in-Python

This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

Language: Jupyter Notebook - Size: 8.01 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

yas-sim/face-feature-visualization

This program demonstrates how to plot face feature vectors on a 2-D chart using t-SNE method to compress dimension of the vectors

Language: Python - Size: 408 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Develop-Packt/t-Distributed-Stochastic-Neighbor-Embedding

You will learn to implement t-SNE models in scikit-learn and explain the limitations of t-SNE. Being able to abstract high-dimensional information into lower dimensions will prove helpful for visualization and exploratory analysis, as well as in conjunction with the clustering algorithms. By the end of this course, you will be able to find clusters in high-dimensional data, such as user-level information or images.

Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

Related Topics
stochastic-neighbor-embedding 2 multilayer-perceptron 1 naive-bayes 1 principal-component-analysis 1 random-forest 1 singular-value-decomposition 1 support-vector-machine 1 deep-learning 1 dimension-reduction 1 face-features 1 facial-features 1 facial-features-detection 1 feature-vectors 1 intel 1 openvino 1 openvino-toolkit 1 python 1 machine-learning-algorithms 1 logistic-regression 1 linear-discrimination-analysis 1 k-nearest-neighbours 1 k-means-clustering 1 independent-component-analysis 1 gaussian-mixture-model 1 feature-selection-methods 1 feature-extraction-methods 1 decision-trees 1 clustering 1 classification 1 adaboost 1 unsupervised-learning 1 perplexity 1 neighbor-embedding 1