---
title: Clustering Zero-Inflated Time Series
url: https://www.ml-quant.com/papers/repec/spr-jclass-v-40-y-2023-i-2-d-10-1007-s00357-023-09437-z/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:spr:jclass:v:40:y:2023:i:2:d:10.1007_s00357-023-09437-z
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs00357-023-09437-z%3Bh%3Drepec%3Aspr%3Ajclass%3Av%3A40%3Ay%3A2023%3Ai%3A2%3Ad%3A10.1007_s00357-023-09437-z
featured: 2023-08-02
citations: unknown
topic: Econometrics & Forecasting
---


# Clustering Zero-Inflated Time Series

A novel clustering method for high-dimensional zero-inflated time series data has been developed, utilizing a modified thick-pen transform and an efficient iterative clustering algorithm, proven effective through simulations and real datasets.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs00357-023-09437-z%3Bh%3Drepec%3Aspr%3Ajclass%3Av%3A40%3Ay%3A2023%3Ai%3A2%3Ad%3A10.1007_s00357-023-09437-z
- Identifier: RePEc:spr:jclass:v:40:y:2023:i:2:d:10.1007_s00357-023-09437-z
- Released: 2023-08-02
- First featured: Quant Letter No. 10 (2023-08-02): https://www.ml-quant.com/issues/2023-08-02/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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