Presenter : Kung, Chien-Hao Authors : Eghbal G. Mansoori 2011,IEEE
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Transcript of Presenter : Kung, Chien-Hao Authors : Eghbal G. Mansoori 2011,IEEE
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Intelligent Database Systems Lab
Presenter : Kung, Chien-Hao
Authors : Eghbal G. Mansoori
2011,IEEE
FRBC: A Fuzzy Rule-Based Clustering Algorithm
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Intelligent Database Systems Lab
OutlinesMotivationObjectivesMethodologyExperimentsConclusionsComments
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Intelligent Database Systems Lab
Motivation• Clustering response is a primitive
exploratory approach in data analysis with little or no prior knowledge.
• However, the main challenge for most of clustering algorithms is their necessity to know the number of clusters for which to look.
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Intelligent Database Systems Lab
Objectives• To overcome these restrictions, a novel fuzzy rule-
based clustering algorithm(FRBC) is proposed in this
paper.
• FRBC tries to automatically explore the potential
clusters in the data patterns.
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Intelligent Database Systems Lab
Methodology-Fuzzy • Fuzzification
• Fuzzy Rule
• Fuzzy Inference Mechanism
• Defuzzifierion
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Intelligent Database Systems Lab
MethodologyGenerate auxiliary data
Choose the best rule
Clustering
Regroup remained data
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Intelligent Database Systems Lab
MethodologyGenerate auxiliary data
Choose the best rule
Clustering
Regroup remained data
![Page 8: Presenter : Kung, Chien-Hao Authors : Eghbal G. Mansoori 2011,IEEE](https://reader036.fdocuments.in/reader036/viewer/2022062520/568161c1550346895dd1a2da/html5/thumbnails/8.jpg)
Intelligent Database Systems Lab
MethodologyGenerate auxiliary data
Choose the best rule
Clustering
Regroup remained data
![Page 9: Presenter : Kung, Chien-Hao Authors : Eghbal G. Mansoori 2011,IEEE](https://reader036.fdocuments.in/reader036/viewer/2022062520/568161c1550346895dd1a2da/html5/thumbnails/9.jpg)
Intelligent Database Systems Lab
MethodologyGenerate auxiliary data
Choose the best rule
Clustering
Regroup remained data
![Page 10: Presenter : Kung, Chien-Hao Authors : Eghbal G. Mansoori 2011,IEEE](https://reader036.fdocuments.in/reader036/viewer/2022062520/568161c1550346895dd1a2da/html5/thumbnails/10.jpg)
Intelligent Database Systems Lab
MethodologyGenerate auxiliary data
Choose the best rule
Clustering
Regroup remained data
![Page 11: Presenter : Kung, Chien-Hao Authors : Eghbal G. Mansoori 2011,IEEE](https://reader036.fdocuments.in/reader036/viewer/2022062520/568161c1550346895dd1a2da/html5/thumbnails/11.jpg)
Intelligent Database Systems Lab
Experiment
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Intelligent Database Systems Lab
Experiment
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Intelligent Database Systems Lab
Experiment
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Intelligent Database Systems Lab
Experiment
T=0.1 T=0.01
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Intelligent Database Systems Lab
Experiment
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Intelligent Database Systems Lab
Experiment
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Intelligent Database Systems Lab
Conclusions• FRBC is a novel fuzzy rule-based clustering algorithm
to automatically explore the potential clusters.
• The clusters specified by fuzzy rules are human understandable with acceptable accuracy.
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Intelligent Database Systems Lab
Comments• Advantages/drawbacks– This paper gives rich experiments for this method– But this method still has a parameter (threshold)
to control the number of clusters.• Applications– Clustering.