Dissertation/ Thesis

Cluster driven approach for pattern identification and understanding

Bibliographic Details
Title: Cluster driven approach for pattern identification and understanding
Authors: Yee Ling Boo
Publication Year: 2020
Collection: Monash University: Figshare
Subject Terms: Pattern recognition systems, Pattern perception Data processing, Computer vision, Granular computing, Cluster analysis Data processing, Data mining Methodology, Algorithms, Neural networks (Computer science) Neural networks (Neurobiology) Multisensor data fusion
Description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Document Type: thesis
Language: unknown
Relation: https://figshare.com/articles/thesis/Cluster_driven_approach_for_pattern_identification_and_understanding/14873883
DOI: 10.26180/14873883.v1
Availability: https://doi.org/10.26180/14873883.v1
https://figshare.com/articles/thesis/Cluster_driven_approach_for_pattern_identification_and_understanding/14873883
Rights: In Copyright
Accession Number: edsbas.36CBE894
Database: BASE
Description
DOI:10.26180/14873883.v1