Hybrid of hierarchical and partitional clustering algorithm for gene expression data

• Main Authors: Raja Kumaran, Shamini, Othman, Mohd. Shahizan, Mi Yusuf, Lizawati
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/91810/1/ShaminiRajaKumaran2020_HybridofHierarchicalandPartitionalClustering.pdf; http://eprints.utm.my/id/eprint/91810/; http://dx.doi.org/10.1088/1757-899X/864/1/012071
• Institution: Universiti Teknologi Malaysia

Microarray analysis able to monitor thousands of gene expression data, however, to elucidate the hidden patterns in the data is a complex process. These gene expression data show its imprecision, noise and vagueness due to its high dimensional properties. There are a handful of clustering algorithms...