A Parallel Architecture for the Partitioning around Medoids (PAM) Algorithm for Scalable Multi-Core Processor Implementation with Applications in Healthcare

A Parallel Architecture for the Partitioning around Medoids (PAM) Algorithm for Scalable Multi-Core Processor Implementation with Applications in Healthcare

Clustering is the most common method for organizing unlabeled data into its natural groups (called clusters), based on similarity (in some sense or another) among data objects. The Partitioning Around Medoids (PAM) algorithm belongs to the partitioning-based methods of clustering widely used for obj...

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Bibliographic Details
Main Authors: Hassan Mushtaq, Sajid Gul Khawaja, Muhammad Usman Akram, Amanullah Yasin, Muhammad Muzammal, Shehzad Khalid, Shoab Ahmad Khan
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Sensors
Subjects:
clustering
partitioning around medoids
scalable
parallel
reconfigurable
FPGA
MPSoCs
multi-core processor
time complexity
speedup
Online Access:https://www.mdpi.com/1424-8220/18/12/4129

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https://www.mdpi.com/1424-8220/18/12/4129

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