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- W3081915513 abstract "In this chapter, we discuss some issues arising when Gaussian Mixture Models (GMMs) are applied for clustering purposes and introduce the most commonly known strategies to solve them. Specifically, we discuss issues related to model-based clustering in high-dimensional spaces and to departures from the nominal model due to skew or contaminated data. Applications to several case studies will be presented." @default.
- W3081915513 created "2020-09-08" @default.
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- W3081915513 date "2020-01-01" @default.
- W3081915513 modified "2023-09-25" @default.
- W3081915513 title "Issues in Gaussian Model-Based Clustering" @default.
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- W3081915513 doi "https://doi.org/10.1007/978-981-13-0553-5_7" @default.
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