Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Clustering of Time Series Data with Prior Geographical Information   Time Series data are broadly studied in various domains of transportation
systems. Traffic data area challenging example of spatio-temporal data, as it
is multi-variate time series with high correlations in spatial and temporal
neighborhoods. Spatio-temporal clustering of traffic flow data find similar
patterns in both spatial and temporal domain, where it provides better
capability for analyzing a transportation network, and improving related
machine learning models, such as traffic flow prediction and anomaly detection.
In this paper, we propose a spatio-temporal clustering model, where it clusters
time series data based on spatial and temporal contexts. We propose a variation
of a Deep Embedded Clustering(DEC) model for finding spatio-temporal clusters.
The proposed model Spatial-DEC (S-DEC) use prior geographical information in
building latent feature representations. We also define evaluation metrics for
spatio-temporal clusters. Not only do the obtained clusters have better
temporal similarity when evaluated using DTW distance, but also the clusters
better represents spatial connectivity and dis-connectivity. We use traffic
flow data obtained by PeMS in our analysis. The results show that the proposed
Spatial-DEC can find more desired spatio-temporal clusters.

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The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
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The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex