A Clustering Algorithm via Density Perception and Hierarchical Aggregation Based on Urban Multimodal Big Data for Identifying and Analyzing Categories of Poverty-Stricken Households in China

<div>Clustering results on artificial datasets based on HDBSCAN. (a) Initial division for cluto-t5-8k. (b) Aggregation for cluto-t5-8k. (c) Initial division for cluto-t8-8k. (d) Aggregation for cluto-t8-8k. (e) Initial division for triangle2. (f) Aggregation for triangle2.</div>

Scientific Programming

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Figure 5

Figure 5: A Clustering Algorithm via Density Perception and Hierarchical Aggregation Based on Urban Multimodal Big Data for Identifying and Analyzing Categories of Poverty-Stricken Households in China 

Figure 5 | A Clustering Algorithm via Density Perception and Hierarchical Aggregation Based on Urban Multimodal Big Data for Identifying and Analyzing Categories of Poverty-Stricken Households in China 