Assessment of the Clusterability of Data Using a Multimodal Convolutional Neural Network

Assessment of the Clusterability of Data Using a Multimodal Convolutional Neural Network

Clustering assigns data points into groups called clusters, which define the characteristics of similar data points. Our work defines a model to identify and assess the presence of a clusterable structure initially in a two-dimensional density grid of a dataset, which is respectively expanded into a...

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Bibliographic Details
Main Authors: Jokinen, J.J (Author), Lintonen, T. (Author), Raty, T. (Author), Reunanen, N. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Artificial neural networks
Clustering
Clustering algorithms
Clusterings
Convolution
Convolutional neural network
Convolutional neural networks
Convolutional neural networks (CNNs)
Datapoints
Multi-modal
Multi-modality
Multiple source
Similar datum
Sources of informations
Two-dimensional
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