Fuzzy subtractive clustering (FSC) with exponential membership function for heart failure disease clustering

QR Code

Fuzzy subtractive clustering (FSC) with exponential membership function for heart failure disease clustering

Objective: Fuzzy clustering algorithm is a partition method used to assign objects from a data set to a cluster by marking the average location. Furthermore, Fuzzy Subtractive Clustering (FSC) with hamming distance and exponential membership function is used to analyze the cluster center of a data p...

Full description

Bibliographic Details
Main Authors:	Annisa Eka Haryati, ., Sugiyarto, Surono, Tommy Tanu, Wijaya, Goh, Khang Wen, Aris, Thobirin
Format:	Article
Published:	2022
Subjects:	QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://eprints.intimal.edu.my/1742/

Similar Items

Optimized subtractive clustering for cluster-based compound selection
by: Kuik, Sok Ping
Published: (2006)

Forecasting Using K-means Clustering and RNN Methods with PCA Feature Selection
by: Ferna, Marestiani, et al.
Published: (2022)

RMF: Rough Set Membership Function-based for Clustering Web Transactions
by: Herawan, Tutut, et al.
Published: (2013)

Total Distance Vertex Irregularity Strength of Hairy Cycle C_m^n Graph
by: Ida, Wijayanti, et al.
Published: (2022)

Cluster Evaluation of Density Based Subspace Clustering
by: Sembiring, Rahmat Widia, et al.
Published: (2010)

Clustering High Dimensional Data Using Subspace And Projected Clustering Algorithms
by: Sembiring, Rahmat Widia, et al.
Published: (2010)

A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course
by: Sembiring, Rahmat Widia, et al.
Published: (2010)

An analysis of hierarchical clustering and neural network clustering for suggestion supervisors and examiners
by: Mohd. Nasir, Nurul Nisa
Published: (2005)

Clustering and visualization of failure modes using an evolving tree
by: Tay, Kai Meng, et al.
Published: (2015)

Rough clustering for web transactions
by: Yanto, Iwan Tri Riyadi
Published: (2011)

An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
by: Islam, Md Kamrul
Published: (2019)

Overview Between Clustering and Load Balancing
by: Abdulla Fairuzullah, Ahmad Tajuddin, et al.
Published: (2017)

Enhancements of kernel learning algorithms for clustering
by: Awan, Abdul Majid
Published: (2007)

Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster
by: Wan Maseri, Wan Mohd, et al.

A Study and Implementation of Music Editor Application for Android Mobile Phone
by: Eka, Wijaya
Published: (2010)

Datasets Size: Effect on Clustering Results
by: Raheem, Ajiboye Adeleke, et al.
Published: (2013)

Inter-cluster synchronization scheme for femtocell network
by: Hasan, M.K., et al.
Published: (2012)

An Improved Genetic Clustering Algorithm for Categorical Data
by: Jasni, Mohamad Zain, et al.
Published: (2013)

Fuzzy clustering algorithms and their applications to chemical datasets
by: Shah, Jehan Zeb, et al.
Published: (2005)

Hybrid self organizing map for overlapping clusters
by: Md. Sap, Mohd. Noor, et al.
Published: (2008)

MaxD K-Means: A clustering algorithm for auto-generation of centroids and distance of data points in clusters
by: Wan Maseri, Wan Mohd, et al.
Published: (2012)

Solving traveling salesman problem on cluster compute nodes
by: I.A., Aziz, et al.
Published: (2009)

Unsupervised Anomaly Detection with Unlabeled Data Using Clustering
by: Chimphlee, Witcha, et al.
Published: (2005)

Clustering technique in data mining : general and research perspective.
by: Che Mat @ Mohd. Shukor, Zamzarina, et al.
Published: (2002)

Predictive data mining based on similarity and clustering methods.
by: Defit, Sarjon, et al.
Published: (2000)

Data mining in network traffic using fuzzy clustering
by: Mohamad, Shamsul
Published: (2003)

Angkatan Belia Islam Malaysia (ABIM) membership management system
by: Hussin, Husnayati, et al.
Published: (2011)

Dynamic Cluster Based Routing for Underwater Wireless Sensor Networks
by: Muhammad, Ayaz, et al.
Published: (2010)

Dynamic unsupervised feedforward neural network clustering / Roya Asadi
by: Roya, Asadi
Published: (2016)

A Novel Soft Set Approach in Selecting Clustering Attribute
by: Qin, Hongwu, et al.
Published: (2012)

Applying Rough Set Theory for Student Clustering on Assessment Datasets
by: Suhirman, na, et al.
Published: (2013)

A buffer-based online clustering for evolving data stream
by: Islam, Md. Kamrul, et al.
Published: (2019)

A Hybrid Method For K-Anonymization Using Clustering Technique
by: Abd.Rahim, Y, et al.
Published: (2011)

Clustering Spatial Data Using a Kernel-Based Algorithm
by: Awan, A. Majid, et al.
Published: (2005)

High reliability replication technique for web-server cluster systems
by: Deris, Mustafa Mat, et al.
Published: (2005)

Finding spatio-temporal patterns in climate data using clustering
by: Md. Sap, Mohd. Noor, et al.
Published: (2005)

Anomaly-based intrusion detection using fuzzy rough clustering
by: Chimphlee, Witcha, et al.
Published: (2006)

Empirical robustness evaluation of DNA-based clustering methods
by: Rohani, Abu Bakar, et al.
Published: (2011)

Clustering pests of rice using self organizing map
by: Md. Sap, Mohd. Noor, et al.
Published: (2008)

Clustering In Fingerprint Recognition System.
by: Ooi, Boon Yaik, et al.
Published: (2004)