Rough Clustering For Cancer Datasets

QR Code

Rough Clustering For Cancer Datasets

Cancer is becoming a leading cause of death among people in the whole world. It is confirmed that the early detection and accurate diagnosis of this disease can ensure a long survival of the patients.Expert systems and machine learning techniques are gaining popularity in this field because of the e...

Full description

Bibliographic Details
Main Author:	Herawan, Tutut
Format:	Article
Language:	English
Published:	World Scientific Publishing 2010
Subjects:	T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/2064/ http://umpir.ump.edu.my/id/eprint/2064/1/Full_Paper_ICMCB_CB_01_Rough_clustering_for_cancer_datasets-Journal-.pdf

Similar Items

Applying Variable Precision Rough Set for Clustering Diabetics Dataset
by: Herawan, Tutut, et al.
Published: (2014)

Rough set approach for categorical data clustering
by: Herawan, Tutut
Published: (2010)

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

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

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

Identifying Clusters Of Users In Twitter Dataset
by: Heidarian, Arash
Published: (2011)

Mining Critical Least Association Rules from Students Suffering Study Anxiety Datasets
by: Tutut, Herawan, et al.
Published: (2015)

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

Mining Indirect Least Association Rule from Students' Examination Datasets
by: Zailani, Abdullah, et al.
Published: (2014)

Mining Indirect Least Association Rule from Students’ Examination Datasets
by: Zailani, Abdullah, et al.
Published: (2014)

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

Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
by: Sulaiman, Noor Suhana
Published: (2007)

A Framework for Data Mining Visualization using Cluster Analysis: An Experimental Study on HIV-AIDS Datasets
by: Syahrul Nizam, Junaini, et al.
Published: (2006)

Application of fuzzy clustering analysis to compound datasets for drug lead identification
by: Sinarwati, Mohamad Suhaili, et al.
Published: (2012)

Detecting Critical Least Association Rules In Medical Databases
by: Herawan, Tutut
Published: (2010)

Mapreduce algorithm for weather dataset
by: Khalid Adam, Ismail Hammad
Published: (2017)

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

Rough set based clustering for finding relevant document /
by: Ching, Ng Choon
Published: (2013)

Empirical analysis of rough set categorical clustering techniques based on rough purity and value set
by: Uddin, Jamal
Published: (2017)

Rough Sets Clustering and Markov model for Web Access Prediction
by: Chimphlee, Siriporn, et al.
Published: (2006)

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

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

Clustering of large time-series datasets using a multi-step approach / Saeed Reza Aghabozorgi Sahaf Yazdi
by: Yazdi, Saeed Reza Aghabozorgi Sahaf
Published: (2013)

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)

Data clustering using min-min roughness and its application to cluster patients suspected diabetics
by: Mohd Ridzuan, Baharin
Published: (2012)

Hybrid of fuzzy clustering neural network over NSL dataset for intrusion detection system
by: Ahmad Zainaddin, Dahlia Asyiqin, et al.
Published: (2013)

Efficiently mining frequent patterns from dense datasets using a cluster of computers
by: Rudra, Amit, et al.
Published: (2003)

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

MGR: An Information Theory Based Hierarchical Divisive Clustering Algorithm for Categorical Data
by: Hongwu, Qin, et al.
Published: (2014)

Data clustering using max-max roughness and its application to cluster patients suspected heart disease
by: Mohd Amirol Redzuan, Mat Rofi
Published: (2012)

Analysis of K-Mean and X-Mean Clustering Algorithms Using Ontology-Based Dataset Filtering
by: Rahmah, Mokhtar, et al.
Published: (2021)

An improved pheromone-based kohonen self-organising map in clustering and visualising balanced and imbalanced datasets
by: Azlin, Ahmad, et al.
Published: (2021)

Behavious based computer user clustering using rough set theory
by: Wang , Le Wei
Published: (2013)

Application of kohonen neural network and rough approximation for overlapping clusters optimization
by: Mohebi, E., et al.
Published: (2008)

Data visualization and modelling of a smoke detector dataset
by: Kaniappan, Kathiresan
Published: (2024)

Addressing imbalance in health datasets: A new method NR-clustering SMOTE and distance metric modification
by: Hairani, Hairani, et al.
Published: (2025)

Improved Parameterless K-Means: Auto-Generation Centroids and Distance Data Point Clusters
by: Wan Maseri, Wan Mohd, et al.
Published: (2011)

Building a Pilot Software Quality-in-Use Benchmark Dataset
by: Issa, Atoum, et al.
Published: (2015)

Soft Set-Based Decision Making For Patients Suspected Influenza-Like Illness
by: Herawan, Tutut
Published: (2010)

A direct proof of improved biased random walk with gastric cancer dataset
by: Seah, Choon Sen, et al.
Published: (2018)