Malaysia household incomes classification prediction with k-means clustering and fuzzy inference system

QR Code

Malaysia household incomes classification prediction with k-means clustering and fuzzy inference system

The economy level of the citizen has become a main concern for Malaysia as a developing country to improve the living status. On this point of view, the household income data would be a very useful information to measure the economic status of the population in Malaysia. This study aims to build a c...

Full description

Bibliographic Details
Main Author:	Hamzah, Nur Atiqah
Format:	Thesis
Language:	English English English
Published:	2018
Subjects:	QA Mathematics
Online Access:	http://eprints.uthm.edu.my/20/ http://eprints.uthm.edu.my/20/1/24p%20NUR%20ATIQAH%20BINTI%20HAMZAH.pdf http://eprints.uthm.edu.my/20/2/NUR%20ATIQAH%20BINTI%20HAMZAH%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/20/3/NUR%20ATIQAH%20BINTI%20HAMZAH%20WATERMARK.pdf

Similar Items

Fuzzy inference system model from non-fuzzy clustering output
by: Hamzah, Nur Atiqah, et al.
Published: (2019)

K-means clustering analysis and multiple linear regression model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)

K-means clustering analysis and multiple linear regression model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)

K-means clustering analysis and multiple linear regression model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)

Clustering for binary data sets by using genetic algorithm-incremental K-means
by: Saharan, S., et al.
Published: (2018)

Intrusion detection systems using K-means clustering system
by: Nor Dzuhairah Hani, Jamaludin
Published: (2019)

An application of predicting student performance using kernel k-means and smooth support vector machine
by: Sajadin, Sembiring
Published: (2012)

Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida
Published: (2018)

Intrusion detection based on k-means clustering and OneR classification
by: Muda, Zaiton, et al.
Published: (2011)

Intrusion detection based on K-means clustering and Naïve Bayes classification
by: Muda, Zaiton, et al.
Published: (2011)

A new hybrid of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida, et al.
Published: (2018)

Nonparametric predictive inference with copulas for bivariate data
by: Noryanti, Muhammad, et al.
Published: (2023)

Predictive Inference for Bivariate Data with Nonparametric Copula
by: Noryanti, Muhammad, et al.
Published: (2016)

A new classification technique based on hybrid fuzzy soft set theory and supervised fuzzy c-means
by: Handaga, Bana
Published: (2013)

K-means clustering to improve the accuracy of decision tree response classification.
by: Ali, S. A., et al.
Published: (2009)

Nonparametric predictive inference with parametric copula for survival analysis
by: Noryanti, Muhammad, et al.
Published: (2018)

Parameter Estimation of K-Distributed Clutter Based on Fuzzy Inference and Gustafson-Kessel Clustering
by: Davari, Atefeh
Published: (2008)

Nonparametric predictive inference for combining diagnostic tests with parametric copula
by: Noryanti, Muhammad, et al.
Published: (2017)

Comparative Study And Analysis Of Quality Based Multibiometric Technique Using Fuzzy Inference System
by: Hamid, Lydia Abdul
Published: (2013)

A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems
by: Kai, Meng Tay, et al.
Published: (2013)

Integrating type-2 fuzzy logic system with fuzzy C-means clustering for weather prediction
by: Soozaei, Ahmad Shahi
Published: (2011)

A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis
by: Tay, Kai Meng, et al.
Published: (2015)

Parameter estimation of K-distributed sea clutter based on fuzzy inference and Gustafson-Kessel clustering
by: Davari, Atefeh, et al.
Published: (2011)

Anomaly-based intrusion detection through K-means clustering and naives Bayes classification
by: Mohamed Yassin, Warusia, et al.
Published: (2013)

Hybrid fuzzy analytical hierarchy process with fuzzy inference system on ranking stem approach towards blended learning in mathematics
by: Durrani Aimi, Abdul Malik
Published: (2022)

Predicting forest fire spots using nonparametric predictive inference with parametric copula: Malaysia case study
by: Noryanti, Muhammad, et al.
Published: (2024)

Nonparametric predictive inference forest fire dashboard
by: Amirah Hazwani, Roslin, et al.
Published: (2024)

Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm
by: Dalatu, Paul Inuwa
Published: (2018)

Fuzzy C mean clustering in off-line handwriting signature verfication system
by: Lee, Beng Yong
Published: (2006)

Neuro fuzzy classification and detection technique for bioinformatics problems
by: Othman, Mohd. Fauzi, et al.
Published: (2007)

Enhanced Supervised Fuzzy Clustering For Pattern Classification
by: Lim , Kian Ming
Published: (2010)

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

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

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

Material classification of magnetic resonance images using neural fuzzy technique and fuzzy neural technique / by Mangalam Sankupellay
by: Sankupellay, Mangalam
Published: (2002)

Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
by: Alia, Osama Moh’d Radi
Published: (2011)

Cluster optimization in VANET using MFO algorithm and K-Means clustering
by: Ramlee, Sham Rizal, et al.
Published: (2023)

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)

Segmentation of CT Brain Images Using K-Means and EM Clustering
by: Lee, Tong Hau, et al.
Published: (2008)

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