Ontology highlight
ABSTRACT:
SUBMITTER: Allegra M
PROVIDER: S-EPMC7536196 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Allegra Michele M Facco Elena E Denti Francesco F Laio Alessandro A Mira Antonietta A
Scientific reports 20201005 1
One of the founding paradigms of machine learning is that a small number of variables is often sufficient to describe high-dimensional data. The minimum number of variables required is called the intrinsic dimension (ID) of the data. Contrary to common intuition, there are cases where the ID varies within the same data set. This fact has been highlighted in technical discussions, but seldom exploited to analyze large data sets and obtain insight into their structure. Here we develop a robust app ...[more]