Krzysztof Siminski
Abstract:
Granular computing is a new paradigm in data mining. It mimics a procedure commonly used by humans. A data granule may be defined as a collection of related entities in sense of similarity, proximity, indiscernibility. Nowadays granular computing focuses on elaboration of granules from data. This step in granular computing is well researched. Our objective is the next step: we would like to focus on computing with granules. In the paper we propose a new clustering algorithm that works with granules instead of numbers. The algorithm takes a collection of granules as an input and clusters them into output granules.
Reference:
Krzysztof Siminski, GrFCM -- Granular Clustering of Granular Data, [in] Man-Machine Interactions 6 (Aleksandra Gruca, Tadeusz Czachórski, Sebastian Deorowicz, Katarzyna Harężlak, Agnieszka Piotrowska, eds.), Springer International Publishing, 2020, pp. 111-121.
Bibtex Entry:
@InProceedings{id:Siminski2019GrFCM,
author="Siminski, Krzysztof",
editor="Gruca, Aleksandra and Czach{\'o}rski, Tadeusz and Deorowicz, Sebastian and Har{\k{e}}{\.{z}}lak, Katarzyna and Piotrowska, Agnieszka",
title="GrFCM -- Granular Clustering of Granular Data",
booktitle="Man-Machine Interactions 6",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="111--121",
abstract="Granular computing is a new paradigm in data mining. It mimics
a procedure commonly used by humans. A data granule may be defined as a
collection of related entities in sense of similarity, proximity,
indiscernibility. Nowadays granular computing focuses on elaboration of
granules from data. This step in granular computing is well researched.
Our objective is the next step: we would like to focus on computing with
granules. In the paper we propose a new clustering algorithm that works
with granules instead of numbers. The algorithm takes a collection of
granules as an input and clusters them into output granules.",
isbn="978-3-030-31964-9",
doi="https://doi.org/10.1007/978-3-030-31964-9_11"
}