... Support Center for Apartment Management were converted into numeric data. Subsequently, the numeric data were fed into a k-means clustering algorithm for document classification. Findings Eight distinct clusters were identified and analyzed. Each cluster represents a unique category: general inquiries...

... of spatial clustering and for spatial spillovers between neighborhoods is estimated. It is hypothesized not only that gentrification depends on inter-neighborhood characteristics but also that gentrified neighborhoods will cluster and preferably be located in proximity to existing high income neighborhoods...

... proposes a method for defining neighbourhoods using Thiessen polygons. The clustering technique is based on fuzzy equality. Clustering is started at different geographical levels: municipalities, traffic analysis zones, and apartment blocks' Thiessen polygons. Delineated neighbourhoods are incorporated...