Modified data-driven framework for housing market segmentation

Keyphrases

• Spatial Heterogeneity 100%
• Housing Market Segmentation 100%
• Data-driven Framework 100%
• Housing Market 66%
• House Prices 66%
• Modified Framework 66%
• Housing Submarkets 66%
• Dynamic Change 33%
• Prediction Accuracy 33%
• Popular 33%
• Spatial Relationship 33%
• China 33%
• Cluster Analysis 33%
• Urban Planners 33%
• Data-driven Methods 33%
• Principal Coordinate Analysis (PCoA) 33%
• Topological Relations 33%
• Homogeneity Test 33%
• Density-based Spatial Clustering of Applications with Noise (DBSCAN) 33%
• Geographically Weighted Principal Component Analysis (GWPCA) 33%
• Submarkets 33%
• Submarket Segmentation 33%
• Social Equality 33%
• Topological Attribute 33%
• Spatial Clustering Algorithm 33%
• Property Valuation 33%
• Facility Management 33%
• Appraiser 33%
• Distance Relationship 33%
• Attribute Similarity 33%

Social Sciences

• Housing Market 100%
• Market Segmentation 100%
• Managers 20%
• China 20%
• Social Inequality 20%
• Cluster Analysis 20%

Economics, Econometrics and Finance

• Housing Market 100%
• Market Segmentation 100%
• Principal Components 40%
• Highly Skilled Workers 20%