Open AccessUnsupervised Machine Learning as a Tool for Exploratory Analysis of Acoustic Telemetry Data: A Case Study With Northern Pike in Toronto Harbour
Author(s) -
Adogbeji Agberien
Publication year - 2021
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.22215/etd/2021-14464
Subject(s) - telemetry , computer science , cluster analysis , biotelemetry , principal component analysis , machine learning , biometrics , hierarchical clustering , data science , human–computer interaction , data mining , artificial intelligence , telecommunications