APPARATUS AND METHOD TO PROCESS AND CLUSTER DATA

APPARATUS AND METHOD TO PROCESS AND CLUSTER DATA

A system for applications including but not limited to machine learning and unsupervised learning for clustering of data processes an input dataset in a plurality of autoencoders where each autoencoder is configured to produce an indication of a particular structure included in the input dataset and...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Zhang, Deijiao, Eriksson, Brian Charles, Sun, Yifan
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Beschreibung
Zusammenfassung:A system for applications including but not limited to machine learning and unsupervised learning for clustering of data processes an input dataset in a plurality of autoencoders where each autoencoder is configured to produce an indication of a particular structure included in the input dataset and an aggregator combines the indications produced by the plurality of autoencoders based on a weighting vector to produce a weighted combination of the indications that may be used to train the system to create a sparse representation of unlabeled datasets.