Skip to main navigation
Skip to search
Skip to main content
Universitas Indonesia Home
Home
Profiles
Research units
Research output
Equipments
Projects
Activities
Press/Media
Search by expertise, name or affiliation
Performance comparison of clustering algorithms on scientific publications
Anne Parlina,
Kalamullah Ramli
Department of Electrical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Citation (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Performance comparison of clustering algorithms on scientific publications'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Performance Comparison
100%
Clustering Algorithm
100%
Processing Time
100%
K-means
66%
Random Clustering
66%
K-medoids
33%
Data Mining Techniques
33%
Preprocessing Techniques
33%
Clustering Results
33%
Partitional Clustering
33%
Digital Form
33%
Fast Processing
33%
Unsupervised Classification
33%
Document Management
33%
RapidMiner
33%
X-means
33%
Topic Similarity
33%
Complex of Parameters
33%
Management Complexity
33%
Distance Measure Method
33%
Computer Science
Clustering Algorithm
100%
Performance Comparison
100%
Processing Time
100%
k-means Clustering
33%
Data Mining Technique
33%
Clustering Result
33%
Distance Measure
33%
Scientific Paper
33%
Document Management
33%
Rapidminer
33%