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RECURRENT NEURAL NETWORK OPTIMIZED DATA CLUSTERING IN TEXT DOCUMENT CLUSTERING ON CANCER DATASETS

Abstract 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

Published By : ICTACT Published In : ICTACT Journal on Data Science and Machine Learning ( Volume: 2 , Issue: 2 ) Date of Publication : March 2021