deepvis - deep visualization for machine learning

Free

2.0.0for iPhone, iPad

Danqing Shi

Developer

Aug 30, 2017

Update Date

Education

Category

App Store

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

deepvis - deep visualization for machine learning Capturas de tela

iPad

deepvis - deep visualization for machine learning Cartaz

iPhone

About deepvis - deep visualization for machine learning

Interaction and visualization for some well-known machine learning algorithms.

Cluster Analysis:
1. Kmeans Clustering
2. Hierarchical Clustering

Dimensionality Reduction:
1. Principal Component Analysis (PCA)
2. Linear Discriminant Analysis (LDA)

All the algorithms are realized by Swift and open sourced on GitHub - deepvis.

Novidades da Última Versão 2.0.0

Last updated on Aug 30, 2017

Versões Antigas

Cluster Analysis: 1. Kmeans Clustering 2. Hierarchical Clustering Dimensionality Reduction: 1. Principal Component Analysis (PCA) 2. Linear Discriminant Analysis (LDA)

Version History

2.0.0

Jan 8, 2016

Cluster Analysis: 1. Kmeans Clustering 2. Hierarchical Clustering Dimensionality Reduction: 1. Principal Component Analysis (PCA) 2. Linear Discriminant Analysis (LDA)

Feedback Report