Spatial interaction - modification model and applications to geo-demographic analysis

Authors:
Le Hoang Son;Bui Cong Cuong;Hoang Viet Long
Affiliations:
-;-;-
Venue:
Knowledge-Based Systems
Year:
2013

Citing 5
Cited 1

A fuzzy intelligent approach to the classification problem in gene expression data analysis

Knowledge-Based Systems
A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data

Knowledge-Based Systems
A novel intuitionistic fuzzy clustering method for geo-demographic analysis

Expert Systems with Applications: An International Journal
Semi-supervised fuzzy clustering with metric learning and entropy regularization

Knowledge-Based Systems
Ranked k-medoids: A fast and accurate rank-based partitioning algorithm for clustering large datasets

Knowledge-Based Systems

A lossless DEM compression for fast retrieval method using fuzzy clustering and MANFIS neural network

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we introduce a novel model so-called Spatial Interaction - Modification Model (SIM^2), serving for the classification of spatially-referenced demographic data. It is integrated with the main part of the best fuzzy clustering algorithm for geo-demographic analysis problem - IPFGWC to form the new method named as MIPFGWC. Theoretical and experimental analyses show that MIPFGWC achieves better clustering quality than IPFGWC and other available algorithms.