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python Programming Glossary: clusterPython: Possible to share in-memory data between 2 separate processes http://stackoverflow.com/questions/1268252/python-possible-to-share-in-memory-data-between-2-separate-processes and modified by message passing a database a memcache cluster a dedicated process that does nothing but keep those data in..
How to implement Unicode string matching by folding in python http://stackoverflow.com/questions/1410308/how-to-implement-unicode-string-matching-by-folding-in-python key in order and it is ranked better if the key characters cluster in the catalog string. Anyway this works fine and matches unicode..
Grouping / clustering numbers in Python http://stackoverflow.com/questions/14783947/grouping-clustering-numbers-in-python clustering numbers in Python I've googled I've tested and this has.. share improve this question There are many ways to do cluster analysis . One simple approach is to look at the gap size between.. look at the gap size between successive data elements def cluster data maxgap '''Arrange data into groups where successive elements..
http://stackoverflow.com/questions/1545606/python-k-means-algorithm implementation of k means algorithm with examples to cluster and cache my database of coordinates. python algorithm cluster.. and cache my database of coordinates. python algorithm cluster analysis k means share improve this question Scipy's clustering.. analysis k means share improve this question Scipy's clustering implementations work well and they include a k means implementation...
Reordering matrix elements to reflect column and row clustering in naiive python http://stackoverflow.com/questions/2455761/reordering-matrix-elements-to-reflect-column-and-row-clustering-in-naiive-python matrix elements to reflect column and row clustering in naiive python I'm looking for a way to perform clustering.. in naiive python I'm looking for a way to perform clustering separately on matrix rows and than on its columns reorder.. its columns reorder the data in the matrix to reflect the clustering and putting it all together. The clustering problem is easily..
plotting results of hierarchical clustering ontop of a matrix of data in python http://stackoverflow.com/questions/2982929/plotting-results-of-hierarchical-clustering-ontop-of-a-matrix-of-data-in-python results of hierarchical clustering ontop of a matrix of data in python How can I plot a dendrogram.. a matrix of values reordered appropriately to reflect the clustering in Python An example is in the bottom of the following figure.. http www.coriell.org images microarray.gif I use scipy.cluster.dendrogram to make my dendrogram and perform hierarchical clustering..
Python - Find dominant/most common color in an image http://stackoverflow.com/questions/3241929/python-find-dominant-most-common-color-in-an-image this question Here's code making use of PIL and Scipy's cluster package . For simplicity I've hardcoded the filename as image.jpg.. lower left of the two peppers. I say usually because the clustering algorithm used has a degree of randomness to it. There are.. import Image import scipy import scipy.misc import scipy.cluster NUM_CLUSTERS 5 print 'reading image' im Image.open 'image.jpg'..
Execute arbitrary python code remotely - can it be done? http://stackoverflow.com/questions/536370/execute-arbitrary-python-code-remotely-can-it-be-done ability to set up services on all the computers in your cluster and invoke them directly or indirectly through a name server..
Is it possible to specify your own distance function using Scikits.Learn K-Means Clustering? http://stackoverflow.com/questions/5529625/is-it-possible-to-specify-your-own-distance-function-using-scikits-learn-k-means Clustering If so how and where python machine learning cluster analysis k means scikit learn share improve this question.. jc X c .mean axis 0 if verbose print kmeans d iterations cluster sizes jiter np.bincount xtoc if verbose 2 r50 np.zeros k r90.. dist 0 r50 j r90 j np.percentile dist 50 90 print kmeans cluster 50 radius r50.astype int print kmeans cluster 90 radius r90.astype..
Kmeans without knowing the number of clusters? http://stackoverflow.com/questions/6615665/kmeans-without-knowing-the-number-of-clusters without knowing the number of clusters I am attempting to apply k means on a set of high dimensional.. are any implementations that find the optimal number of clusters. I remember reading somewhere that the way an algorithm generally.. an algorithm generally does this is such that the inter cluster distance is maximized and intra cluster distance is minimized..
http://stackoverflow.com/questions/17866915/how-to-compare-clusters both. I reformatted the files so that they look like this Cluster 0 Brucellaceae 10 Brucella 10 abortus 1 canis 1 ceti 1 inopinata.. 1 microti 1 neotomae 1 ovis 1 pinnipedialis 1 suis 1 Cluster 1 Streptomycetaceae 28 Streptomyces 28 achromogenes 1 albaduncus.. bacterial species info. So I have the cluster number Cluster 0 then right below it 'family' Brucellaceae and the number of..
How to detect a Christmas Tree? http://stackoverflow.com/questions/20772893/how-to-detect-a-christmas-tree Brightness' figclust.canvas.set_window_title 'DBSCAN Clusters Raw Pixel Output ' figcltwo.canvas.set_window_title 'DBSCAN.. Pixel Output ' figcltwo.canvas.set_window_title 'DBSCAN Clusters Slightly Dilated for Display ' figborder.canvas.set_window_title.. for col unqlbl in zip plcol unique_labels if lbl unqlbl # Cluster label of 1 indicates no cluster membership # override default..
Calculating the percentage of variance measure for k-means? http://stackoverflow.com/questions/6645895/calculating-the-percentage-of-variance-measure-for-k-means set xtoc print cluster_vars for cluster in set xtoc print Cluster cluster truthcondition x cluster for x in xtoc distances_inside_cluster.. following is the output for k 2 Unique clusters set 0 1 Cluster 0 1.0 2.0 0.0 1.4142135623730951 1.0 0.427451660041 Cluster.. 0 1.0 2.0 0.0 1.4142135623730951 1.0 0.427451660041 Cluster 1 0.0 1.0 1.0 1.0 1.0 0.16 Sum of variances 0.587451660041 Total..
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