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<description>henrik&#39;s bookmarks tagged &quot;period&quot; on Netvouz</description>
<item><title>Google</title>
<link>http://www.google.com/</link>
<description>Search engine. The best. Period.</description>
<category domain="http://netvouz.com/henrik?category=5428924915538520211">Search engines &amp; Portals</category>
<author>henrik</author>
<pubDate>Wed, 02 Jul 2003 22:00:00 GMT</pubDate>
</item><item><title>Why Use K-Means for Time Series Data? (Part Two) | by Anais Dotis</title>
<link>https://medium.com/schkn/why-use-k-means-for-time-series-data-part-two-690e771c0b36</link>
<description>In “Why use K-Means for Time Series Data? (Part One)“, I give an overview of how to use different statistical functions and K-Means Clustering for anomaly detection for time series data. I recommend checking that out if you’re unfamiliar with either. In this post I will share: Some code showing how K-Means is used Why you shouldn’t use K-Means for contextual time series anomaly detection</description>
<category domain="http://netvouz.com/henrik?category=6653904434093975830">Development &gt; Machine Learning &gt; Time Series clustering</category>
<author>henrik</author>
<pubDate>Sat, 22 Jan 2022 23:52:23 GMT</pubDate>
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