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	<title>Clustering &#8211; Howard Nguyen</title>
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		<title>Clustering vs. Segmentation</title>
		<link>https://howardnguyen.com/clustering-vs-segmentation/</link>
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		<pubDate>Mon, 03 Feb 2025 20:49:24 +0000</pubDate>
				<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[Segmentation]]></category>
		<category><![CDATA[clustering]]></category>
		<category><![CDATA[segmentation]]></category>
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					<description><![CDATA[clustering and segmentation are techniques used in data analysis to group data points based on similarities, but they are applied in different contexts and have distinct goals.]]></description>
										<content:encoded><![CDATA[<p>Techniques in Data Analysis Clustering is an unsupervised learning technique used to group similar data points based on their features without predefined labels. It’s primarily a data-driven approach where the algorithm finds patterns and groups in the data. Key Characteristics: • Data-Driven: No predefined groups; the algorithm determines the groups. • Goal: To identify inherent…</p>
<p><a href="https://howardnguyen.com/clustering-vs-segmentation/" rel="nofollow">Source</a></p>]]></content:encoded>
					
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