source: orange/Orange/OrangeCanvas/application/tutorials/310-clustering.ows @ 11324:75f0ea2a4d00

Revision 11324:75f0ea2a4d00, 10.6 KB checked in by blaz <blaz.zupan@…>, 14 months ago (diff)

First of the widget tutorial files.

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1<?xml version='1.0' encoding='utf-8'?>
2<scheme description="Hierarchical clustering. The schema clusters the data items in Iris data set by first estimating the distances between data instances. Distance matrix is passed to hierarchical clustering, which renders the dendrogram. Select different parts of the dendrogram to further analyze the corresponding data.&#10;&#10;Notice that hierarchical clustering can only handle small data sets, that is, those that contain only a small number of data instances. For larger data sets the distance matrix may get too big and may not fit in the memory. An alternative method that can consider such data sets is k-means clustering." title="Hierarchical Clustering" version="2.0">
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15        <link enabled="true" id="2" sink_channel="Distances" sink_node_id="3" source_channel="Distances" source_node_id="2" />
16        <link enabled="true" id="3" sink_channel="Distances" sink_node_id="4" source_channel="Distances" source_node_id="2" />
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20        <arrow end="(285.0, 341.0)" fill="#C1272D" id="0" start="(261.0, 393.0)" />
21        <text font-family="Helvetica" font-size="12" id="1" rect="(192.0, 393.0, 142.0, 48.0)">Compute the distance
22between data samples.
23        </text>
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25        <text font-family="Helvetica" font-size="12" id="3" rect="(499.0, 98.0, 150.0, 20.0)">Visualize the distance in
26a heat map.
27        </text>
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29        <text font-family="Helvetica" font-size="12" id="5" rect="(75.0, 16.0, 150.0, 60.0)">Read the data. Try this schema with the Iris data set (from data sets that come with Orange).
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32        <text font-family="Helvetica" font-size="12" id="7" rect="(405.0, 427.0, 100.0, 36.0)">Hierarchically cluster the data.
33        </text>
34        <text font-family="Helvetica" font-size="12" id="8" rect="(530.0, 385.0, 150.0, 144.0)">Choose any part of the clustering dendrogram. Then, observe the selected data in a data table, or in any other analysis widget. Open both Hierarchical Clustering and Data Table (1) widget to turn this schema into interactive data analysis.
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