Skip to main navigation
Skip to search
Skip to main content
Hamad Bin Khalifa University Home
Search content at Hamad Bin Khalifa University
Home
Profiles
Research units
Projects
Research output
Activities
Student theses
Divide well to merge better: A novel clustering algorithm
Atiq Ur Rehman
,
Samir Brahim Belhaouari
*
*
Corresponding author for this work
HBKU College of Science and Engineering
CSE Information & Computing Technology
Research output
:
Contribution to journal
›
Article
›
peer-review
40
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Divide well to merge better: A novel clustering algorithm'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Clustering Algorithm
100%
Novel Clustering
100%
Nonparametric Clustering
66%
Hyperparameters
33%
Benchmark Dataset
33%
Data Cleaning
33%
Statistical Measures
33%
High-dimensional Data
33%
Existing State
33%
Nonconvex
33%
Split-and-merge
33%
Advanced Statistical
33%
Outlier Noise
33%
Computer Science
Clustering Algorithm
100%
Data Cleaning
33%
High Dimensional Data
33%
Leaning Parameter
33%