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copied!<p>Four questions in one question is extremely awkward -- why not make a question one question? It's not as if it would cost you;-). Anyway, wrt "How do I indicate an empty value?", see <a href="http://www.ailab.si/orange/doc/reference/Value.htm" rel="nofollow noreferrer">the docs</a> regarding attribute <code>value</code> of instances of <code>Orange.Value</code>:</p> <blockquote> <p>If value is continuous or unknown, no descriptor is needed. For the latter, the result is a string '?', '~' or '.' for don't know, don't care and other, respectively.</p> </blockquote> <p>I'm not sure if by empty you mean "don't know" or "don't care", but anyway you can indicate either. Take care about distances, however -- from this other page in <a href="http://www.ailab.si/orange/doc/reference/ExamplesDistance.htm" rel="nofollow noreferrer">the docs</a>:</p> <blockquote> <p>Unknown values are treated correctly only by Euclidean and Relief distance. For other measure of distance, a distance between unknown and known or between two unknown values is always 0.5.</p> </blockquote> <p>The distances listed in this latter page are Hamming, Maximal, Manhattan, Euclidean and Relief (the latter is like Manhattan but with correct treatment of unknown values) -- no Cosine distance provided: you'll have to code it yourself.</p> <p>For (4), with just a little Python code you can obviously format results in any way you want. The <code>.clusters</code> attribute of a KMeans object is a list, exactly as long as the number of data instances: if what you want is a list of lists of data instances, for example:</p> <pre><code>def loldikm(data, **k): km = orange.KMeans(data, **k) results = [[] for _ in km.centroids] for i, d in zip(km.clusters, data): results[i].append(d) </code></pre>

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