RECURRENT NEURAL NETWORK OPTIMIZED DATA CLUSTERING IN TEXT DOCUMENT CLUSTERING ON CANCER DATASETS
Abstract
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In this paper, we include an in-depth analysis of DL-based research clustering approaches. Cluster findings in the three separate use cases representing different data types reveal that DL-based clustering algorithms exceed these approaches. Overall assessments are however delayed because of the small number of marked data for GE-bio-imaging and clustering. Neural networks usually need a great deal of samples for generalization.

Authors
M Keerthana
Paavai Engineering College, India

Keywords
Deep Learning, Recurrent Neural Network, Clustering, Cancer
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Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 2 , Issue: 2 , Pages: 172-175 )
Date of Publication :
March 2021
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100
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