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Implementing Fuzzy C-Means Clustering with Java and Oracle
Paperback
Publisher: Independently Published
Published: Apr 24 2026
Pages: 234
Weight: 0.70
Height: 0.49 Width: 6.00 Depth: 9.00
Language: English
Fuzzy C-Means, which is based on fuzzy logic, groups data based on the distance between the centroid and the data. Each data point has a degree of membership within each cluster. The data with the highest degree of membership will become a member of the cluster for which that degree of membership is targeted.
This book implements Fuzzy C-Means Clustering, which benchmarks the 2005 Jakarta Composite Index (JCI), making it easier for users to perform historical technical data analysis.
From the results of trials on several types of Jakarta Composite Index (JCI), it was concluded that benchmarking can be performed on various types of Jakarta Composite Index (JCI), and that useful information can be obtained if the JCI pattern is analyzed more deeply and linked to time variables.We will use java and oracle to design this program.
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