Interpretable Clustering of Multivariate Time Series with Time2Feat

Summary: Time2Feat clusters multivariate time series using interpretable inter- and intra-signal features, with dimensionality reduction retaining informative subsets. Users can semi-supervise clustering by providing examples of a target cluster, improving accuracy and interpretability. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13436
Venue: VLDB
Year: 2023
Pagerank: 5.714653e-05
Overall Rank: 7,060 | 51.57%
DOI: 10.14778/3611540.3611604

Incoming Non-self Citations Over Time

Authors

1. Angela Bonifati (University Claude Bernard Lyon 1)
2. Francesco Del Buono (University of Modena and Reggio Emilia)
3. Francesco Guerra (University of Modena and Reggio Emilia)
4. Miki Lombardi (Adobe)
5. Donato Tiano (University of Modena and Reggio Emilia)

BibTeX Citation

@article{bonifati_vldb23,
        title = {{Interpretable Clustering of Multivariate Time Series with Time2Feat}},
        author = {Bonifati, Angela and Del Buono, Francesco and Guerra, Francesco and Lombardi, Miki and Tiano, Donato},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3994--3997},
        doi = {10.14778/3611540.3611604},
        url = {https://doi.org/10.14778/3611540.3611604},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,607	CLaP - State Detection from Time Series	2026	VLDB	5.093636e-05
10,629	MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance	2026	VLDB	5.093636e-05
10,747	A Structured Study of Multivariate Time-Series Distance Measures	2025	SIGMOD	5.093636e-05
11,266	DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series	2024	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
5,038	Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering	2023	VLDB	6.3911449e-05

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