This paper proposes a feature-based clustering approach using topological data analysis, which is a set of methods for finding topological structure in data.

May 14, 2023 · Clustering long and noisy time series has become an important research area for analyzing this data. This paper proposes a feature-based ...

This paper proposes a feature-based clustering approach using topological data analysis, which is a set of methods for finding topological structure in data.

This paper proposes a feature-based clustering approach using topological data analysis, which is a set of methods for finding topological structure in data.

This paper presents a framework for selecting an optimal number of persistence landscapes, and using them as features in an unsupervised learning algorithm, ...

The manuscript "Feature Construction Using Persistence Landscapes For Clustering Noisy IoT Time Series" proposes a solution to the important engineering problem ...

They first constructed Walsh–Fourier transforms of the categorical time series, and then obtained first-order persistence landscapes from the Walsh–Fourier ...

May 28, 2023 · Feature Construction Using Persistence Landscapes for Clustering Noisy IoT Time Series ... used to cluster time series. This paper presents ...

Renjie Chen's 6 research works with 19 citations and 3562 reads, including: Feature Construction Using Persistence Landscapes for Clustering Noisy IoT Time ...