PhilSci Archive

Finding True Clusters: On the Importance of Simplicity in Science

Rochefort-Maranda, Guillaume and Liu, Mo (2019) Finding True Clusters: On the Importance of Simplicity in Science. [Preprint]

[img]
Preview
Text
clustering_simplicity.pdf

Download (941kB) | Preview

Abstract

Parametric and dimensional simplicity are not indicators of truth but the methodological principle that urges us to pay attention to such notions of simplicity is truth conducive}. The truth that we are looking for are specific geometrical shapes and we know which algorithm can find which shape provided that we pay attention to parametric and dimensional simplicity.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Rochefort-Maranda, Guillaumeguillaumemaranda@hotmail.com
Liu, Mo
Keywords: simplicity; truth; science; machine learning; clustering; unsupervised
Subjects: Specific Sciences > Artificial Intelligence
Depositing User: Dr. Guillaume Rochefort-Maranda
Date Deposited: 04 Mar 2019 02:31
Last Modified: 04 Mar 2019 02:31
Item ID: 15785
Subjects: Specific Sciences > Artificial Intelligence
Date: 2 February 2019
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/15785

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item