Using K-Means Cluster Analysis and Decision Trees to Highlight Significant Factors Leading to Homelessness

Using K-Means Cluster Analysis and Decision Trees to Highlight Significant Factors Leading to Homelessness

Homelessness has been a persistent social concern in the United States. A combination of political and economic events since the 1960s has driven increases in poverty that, by 1991, had surpassed 1928 depression era levels in some accounts. This paper explores how the emerging field of behavioral ec...

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Bibliographic Details
Main Authors: Andrea Yoder Clark, Nicole Blumenfeld, Eric Lal, Shikar Darbari, Shiyang Northwood, Ashkan Wadpey
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Mathematics
Subjects:
data science
machine learning
data mining
k-means
cluster analysis
decision trees
Online Access:https://www.mdpi.com/2227-7390/9/17/2045

Internet

https://www.mdpi.com/2227-7390/9/17/2045

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