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<oembed><version>1.0</version><provider_name>Instituto de Ingenier&#xED;a del Conocimiento</provider_name><provider_url>https://www.iic.uam.es/en</provider_url><author_name>Instituto de Ingenier&#xED;a del Conocimiento</author_name><author_url>https://www.iic.uam.es/en/author/andres/</author_url><title>Segmentation - IIC</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="zNY3cGkngK"&gt;&lt;a href="https://www.iic.uam.es/en/big-data/predictive-analytics/segmentation/"&gt;Segmentation&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.iic.uam.es/en/big-data/predictive-analytics/segmentation/embed/#?secret=zNY3cGkngK" width="600" height="338" title="&#x201C;Segmentation&#x201D; &#x2014; Instituto de Ingenier&#xED;a del Conocimiento" data-secret="zNY3cGkngK" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>[vc_row type=&#x201D;full_width_section&#x201D; top_padding=&#x201D;-10&#x2033;][vc_column width=&#x201D;1/1&#x2033;][vc_column_text][/vc_column_text][/vc_column][/vc_row][vc_row top_padding=&#x201D;30&#x2033;][vc_column width=&#x201D;1/1&#x2033;][vc_column_text] What is Automatic Segmentation? [/vc_column_text][vc_row_inner][vc_column_inner width=&#x201D;1/2&#x2033;][vc_column_text] We are drowning in an ocean of information, and it is very common not knowing exactly what we are looking for in data. Setting well-defined categories or establishing fixed measurements according to which classify and organise data may be a very complex task, despite having in mind a clear objective. &#x201C;I want to know my customers better&#x201D; is a very frequent objective, but questions related to it, such as &#x201C;What interest groups are there among my customers?&#x201D;, still have no simple answer. [/vc_column_text][/vc_column_inner][vc_column_inner width=&#x201D;1/2&#x2033;][vc_column_text] Segmentation techniques analyse high volumes of data and detect automatically related groups of elements, or even opposing cases that do not follow the standards. They are tools useful to: [/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row top_padding=&#x201D;40&#x2033; bottom_padding=&#x201D;40&#x2033;][vc_column width=&#x201D;1/3&#x2033;][/vc_column][vc_column width=&#x201D;1/3&#x2033;][/vc_column][vc_column width=&#x201D;1/3&#x2033;][/vc_column][/vc_row][vc_row bottom_padding=&#x201D;40&#x2033;][vc_column width=&#x201D;1/1&#x2033;][vc_column_text] As a result of applying segmentation techniques, valuable information is obtained from rough data, without the need of an expert to define previously the groups or elements needed to be detected. [/vc_column_text][/vc_column][/vc_row][vc_row type=&#x201D;full_width_section&#x201D;][vc_column width=&#x201D;1/1&#x2033;][/vc_column][/vc_row][vc_row bg_color=&#x201D;#f7f7f7&#x2033; top_padding=&#x201D;40&#x2033;][vc_column width=&#x201D;1/1&#x2033;][vc_column_text] How does it work? [/vc_column_text][vc_row_inner][vc_column_inner width=&#x201D;1/2&#x2033;][vc_column_text] Automatic Segmentation is grounded on the scientific discipline known as unsupervised machine learning. This transforms data into a numerical representation that allows calculating similarities [&hellip;]</description></oembed>
