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target="_blank">L1</a> and <a href="http://mathworld.wolfram.com/L2-Norm.html"; target="_blank">L2</a> normalization ensures that each feature vector has unit length:</p> +<pre><code class="lang-sql"><span class="hljs-keyword">select</span> l1_normalize(<span class="hljs-built_in">array</span>(<span class="hljs-string">'apple:1.0'</span>, <span class="hljs-string">'banana:0.5'</span>)) +</code></pre> +<blockquote> +<p>["apple:0.6666667","banana:0.33333334"]</p> +</blockquote> +<pre><code class="lang-sql"><span class="hljs-keyword">select</span> l2_normalize(<span class="hljs-built_in">array</span>(<span class="hljs-string">'apple:1.0'</span>, <span class="hljs-string">'banana:0.5'</span>)) +</code></pre> +<blockquote> +<p>["apple:0.8944272","banana:0.4472136"]</p> +</blockquote> <h1 id="min-max-normalization">Min-Max Normalization</h1> <p><a href="http://en.wikipedia.org/wiki/Feature_scaling#Rescaling"; target="_blank">http://en.wikipedia.org/wiki/Feature_scaling#Rescaling</a></p> <pre><code class="lang-sql"><span class="hljs-keyword">select</span> <span class="hljs-keyword">min</span>(target), <span class="hljs-keyword">max</span>(target) @@ -2432,7 +2445,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; 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