A hybrid model of hierarchical clustering and decision tree for rule-based classification of diabetic patients.
Hybrid models in data mining have recently gained attention including in the study of medical research. Various studies in this domain using hybrid models have shown different results. This paper presents the new hybrid model by exploring Agglomerative Hierarchical Clustering and Decision Tree Class...
Saved in:
Main Authors: | Ibrahim, Norul Hidayah, Mustapha, Aida, Rosli, Rozilah, Helmee, Nurdhiya Hazwani |
---|---|
Format: | Article |
Language: | English English |
Published: |
Engg Journals Publications
2013
|
Online Access: | http://psasir.upm.edu.my/id/eprint/30685/1/A%20hybrid%20model%20of%20hierarchical%20clustering%20and%20decision%20tree%20for%20rule.pdf http://psasir.upm.edu.my/id/eprint/30685/ http://www.enggjournals.com/ijet/vol5issue5.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
K-means clustering to improve the accuracy of decision tree response classification.
by: Ali, S. A., et al.
Published: (2009) -
Measurement of software maintenance from user satisfaction perspective: a case study
by: Helmee, Nurdhiya Hazwani, et al.
Published: (2015) -
Algorithm Development Of Bidirectional Agglomerative Hierarchical Clustering Using Avl Tree With Visualization
by: Hussain Mohammad Yousef Abu Dalbouh
Published: (2015) -
Improving accuracy of intention-based response classification using decision tree.
by: Ali, S. A., et al.
Published: (2009) -
3D nearest neighbour search using a clustered hierarchical tree structure
by: Suhaibah, A., et al.
Published: (2016)