M开发者_运维百科ATLAB has a nice silhouette function to help evaluate the number of clusters for k-means. Is there an equivalent for Python\'s Numpy/Scipy as well?I present below a sample silhouette i
I want to explore relations between data items in large array. Every data item represented by multidimensional vector. First of all, I\'ve decided to use clusterization. I\'m interested in finding hie
i have running Lucene/Solr 4 for testing different features, also \"clustering\". Currently, 1 million documents are indexed. Every document has the following fields:
I just went through solr wiki page for clustering. But i am not getting what is the benefit of using clustering. Can anyone tell me what is actually clusering and what its use in indexing and searchin
I am looking for a way to do some data cluster analysis. This is way out of my league but i know it can be done. I am looking for ways to cluster the data that i have and present it in a visual way. O
it is said that the Carrot integration into Solr was improved since the release of Solr 3.2 but it turns out to be different for me. I had a absolutly same configurated Solr 1.4.1 Server running were
I have a DB containing tf-idf vectors of about 30,000 documents. I would like to return for a given document a set of similar documents - about 4 or so.
I\'m working on a clustering algorithm to group similar ranges of real numbers. After I group them, I have to create one range for that cluster, i.e., cluster centroid. For example, if one cluster con
I\'m writing a code which performs a k-means clustering on a set of data.I\'m actually using the code from a book called collective intelligence by O\'Reilly.Everything works, but in his code he uses
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