Articles with "clustering time" as a keyword



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Constrained distance based clustering for time-series: a comparative and experimental study

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Published in 2018 at "Data Mining and Knowledge Discovery"

DOI: 10.1007/s10618-018-0573-y

Abstract: Constrained clustering is becoming an increasingly popular approach in data mining. It offers a balance between the complexity of producing a formal definition of thematic classes—required by supervised methods—and unsupervised approaches, which ignore expert knowledge… read more here.

Keywords: time series; clustering time; distance; time ... See more keywords
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Clustering time series by linear dependency

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Published in 2019 at "Statistics and Computing"

DOI: 10.1007/s11222-018-9830-6

Abstract: We present a new way to find clusters in large vectors of time series by using a measure of similarity between two time series, the generalized cross correlation. This measure compares the determinant of the… read more here.

Keywords: series linear; time series; clustering time; series ... See more keywords
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Information Granulation-Based Fuzzy Clustering of Time Series.

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Published in 2020 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2020.2970455

Abstract: In this article, we propose a two-stage time-series clustering approach to cluster time series with different shapes. The first step is to represent the time series by a suite of information granules following the principle… read more here.

Keywords: fuzzy clustering; information; time series; clustering time ... See more keywords
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Linear Fuzzy Information-Granule-Based Fuzzy C -Means Algorithm for Clustering Time Series.

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Published in 2022 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2022.3184999

Abstract: This article aims to design a trend-oriented-granulation-based fuzzy C -means (FCM) algorithm that can cluster a group of time series at an abstract (granular) level. To achieve a better trend-oriented granulation of a time series,… read more here.

Keywords: time; time series; granule; clustering time ... See more keywords