DeepAI AI Chat
Log In Sign Up

Tropical Data Science

05/13/2020
by   Ruriko Yoshida, et al.
0

Phylogenomics is a new field which applies to tools in phylogenetics to genome data. Due to a new technology and increasing amount of data, we face new challenges to analyze them over a space of phylogenetic trees. Because a space of phylogenetic trees with a fixed set of labels on leaves is not Euclidean, we cannot simply apply tools in data science. In this paper we survey some new developments of machine learning models using tropical geometry to analyze a set of phylogenetic trees over a tree space.

READ FULL TEXT

page 1

page 2

page 3

page 4

12/17/2019

A literature survey of matrix methods for data science

Efficient numerical linear algebra is a core ingredient in many applicat...
01/18/2020

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Today, the prominence of data science within organizations has given ris...
05/16/2022

A Survey on Semantics in Automated Data Science

Data Scientists leverage common sense reasoning and domain knowledge to ...
03/02/2020

Tropical Support Vector Machine and its Applications to Phylogenomics

Most data in genome-wide phylogenetic analysis (phylogenomics) is essent...
07/05/2022

How sustainable is "common" data science in terms of power consumption?

Continuous developments in data science have brought forth an exponentia...
03/17/2022

Kan Extensions in Data Science and Machine Learning

A common problem in data science is "use this function defined over this...