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		<Title>CUSTOMER SEGMENTATION OF A MALL USING MACHINE LEARNING</Title>
		<Author>Mr.G.MANTHRU NAIK, K.LASYA SREE,S.SIVA KRISHNA,R.VAMSI,SK.ABDUL HAFEEZ</Author>
		<Volume>04</Volume>
		<Issue>2</Issue>
		<Abstract>Customer Segmentation is the division of potential customer in a given market into discrete groups which is based on customers having similar needs and buying characteristics such as gender age interests and miscellaneous spending habits While the most companies possess enough market knowledge to predict which customer segments are the companys most profitable The leaders of those businesses also know that scaling a business is not best left to guesswork Thats why in a customer segmentation process its very important to develop customer segment hypotheses and variables and then validate them with a welldeveloped scientific research process The project study and examines customer data and applies unsupervised machine learning methods such as KMeans and Hierarchical clustering to segment customers The study also consolidates related work in the field of customer segmentation</Abstract>
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<copyright-statement>Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.wjpsonline.org>
		