Determining a New Home Classification - A Data Mining Approach

Fidel López-Saca, José Castro-López, Josué Figueroa-González, Silvia Beatriz González-Brambila

2017

Abstract

This paper presents a new home classification using a data mining approach and clustering algorithms. It focus in sociological characteristics. Data was obtained from a survey used in the research project "The Dwelling of Older Adults in the Central City" that is part of a larger research project entitled "Habitat and Centrality". This survey has 3,000 registers and 294 columns. From this, we selected 30 columns that were categorized in 4: gender, if at least one child exists, if a partner exists, and if there are one or more elder. Elder were 64 or more, following Mexican guidelines. Classification was performed with 6 clustering algorithms, and evaluated by silhouette and Dunn. The proposed classification is 10 clusters, that more adequately represent the type of families from a sociological point of view.

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Paper Citation


in Harvard Style

López-Saca F., Castro-López J., Figueroa-González J. and González-Brambila S. (2017). Determining a New Home Classification - A Data Mining Approach . In - KDCloudApps, ISBN , pages 0-0. DOI: 10.5220/0006487704150420


in Bibtex Style

@conference{kdcloudapps17,
author={Fidel López-Saca and José Castro-López and Josué Figueroa-González and Silvia Beatriz González-Brambila},
title={Determining a New Home Classification - A Data Mining Approach},
booktitle={ - KDCloudApps,},
year={2017},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006487704150420},
isbn={},
}


in EndNote Style

TY - CONF
JO - - KDCloudApps,
TI - Determining a New Home Classification - A Data Mining Approach
SN -
AU - López-Saca F.
AU - Castro-López J.
AU - Figueroa-González J.
AU - González-Brambila S.
PY - 2017
SP - 0
EP - 0
DO - 10.5220/0006487704150420