Apache spark implementation of the distance-based kernel-based fuzzy C-means clustering classifier

Joanna Jędrzejowicz; Piotr Jędrzejowicz; Izabela Wierzbowska

Conference Proceedings

Apache spark implementation of the distance-based kernel-based fuzzy C-means clustering classifier

Jędrzejowicz J
Jędrzejowicz P
Wierzbowska I

Smart Innovation, Systems and Technologies (2016) 56 317-324

DOI: 10.1007/978-3-319-39630-9_26

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Abstract

The paper presents an implementation of a classification algorithm based onKernel-based fuzzy C-means clustering. The algorithm is implemented in Apache Spark environment, and it is based on Resilient Distributed Datasets (RDDs) and RDD actions and transformations. The choice allows for parallel data manipulation.

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Classification
Clustering
Fuzzy C-means

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APA

Jędrzejowicz, J., Jędrzejowicz, P., & Wierzbowska, I. (2016). Apache spark implementation of the distance-based kernel-based fuzzy C-means clustering classifier. In Smart Innovation, Systems and Technologies (Vol. 56, pp. 317–324). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-39630-9_26

Apache spark implementation of the distance-based kernel-based fuzzy C-means clustering classifier

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