ISSN : 2663-2187
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Strategies for Teaching Vocabulary Effectively to ESL Students: Identifying and Resolving Challenges : An Emperical Study
Volume 7 | Issue - 1 articles in press
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Perceiving the Self and Others: A Phenomenological Analysis of Character Consciousness in Anita Nair's Fiction
Volume 7 | Issue - 1 articles in press
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Soft Skills: The Catalyst for Critical Thinking in Engineering Education
Volume 7 | Issue - 1 articles in press
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A Comprehensive Framework for Exploring and Evaluating Learning Digital Resources in English Language Classrooms
Volume 7 | Issue - 1 articles in press
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EXPLORATION OF INDIGOFERA PROSTRATE AGAINST OXIDATIVE STRESS AND EVALUATION FOR NEUROPROTECTION IN CHEMICALLY INDUCED NEUROTOXIC RATS
Volume 7 | Issue - 1 articles in press
Comparative Analysis of Agglomerative Clusteringand K-means Clustering Algorithms for Brain Tumor Segmentation in MRI Images
Main Article Content
Abstract
This research paper presents an analysis of clus- tering algorithms, specifically Agglomerative Clustering and K- means Clustering, applied to a dataset consisting of 100 MRI images of brain tumors. The aim of the study is to explore the effectiveness of these algorithms in segmenting brain tumor regions within the images.
