consensus-cluster

This software package allows the user to perform various consensus clustering operations on any numerical data using PCA to select informative features. News NEW - The power of consensus clustering with the speed of the GPU: The first alpha of CUDAConsensusCluster has been released! Defining clusters explained! Find out how to track your clusters between runs in DefiningClusters. Clustering can now be fully automated! See command line options in the CmdLineOpts Wiki. Current Version - 0.6 You can find the most current version for your operating system in the "Featured" box on the left of this page. Installation If using the Win32 binary, simply extract the zipped folder. The executable is called "common.exe" If using the source package, please have the following packages installed: Required, all OS

ConsensusCluster
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courR08.pbm
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libpng12.dll
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libcairo-2.dll
matplotlib.backends._backend_agg.pyd
scipy.sparse.linalg.dsolve._zsuperlu.pyd
matplotlib._png.pyd
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numpy.core._sort.pyd
zlib1.dll
matplotlib._path.pyd
MSVCR90.dll
pangocairo.pyd
scipy.optimize._cobyla.pyd
numpy.random.mtrand.pyd
numpy.core.scalarmath.pyd
share
lib
matplotlib.nxutils.pyd
matplotlib.ttconv.pyd
euclidean.pyd
courR08.pil
libatk-1.0-0.dll
scipy.special.specfun.pyd
matplotlib._cntr.pyd
libgdk-win32-2.0-0.dll
scipy.integrate._quadpack.pyd
libfreetype-6.dll
python26.dll
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cairo._cairo.pyd
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sa.pyd
pango.pyd
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libgthread-2.0-0.dll
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numpy.fft.fftpack_lite.pyd
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scipy.optimize._zeros.pyd
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libxml2.dll
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scipy.stats.mvn.pyd
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pyexpat.pyd
scipy.spatial._distance_wrap.pyd
scipy.optimize._nnls.pyd
scipy.optimize._minpack.pyd
_socket.pyd
scipy.stats.vonmises_cython.pyd
scipy.sparse.sparsetools._csr.pyd
matplotlib._image.pyd
scipy.linalg.clapack.pyd
scipy.linalg.fblas.pyd
scipy.optimize.minpack2.pyd
scipy.sparse.linalg.dsolve._dsuperlu.pyd
matplotlib.ft2font.pyd
atk.pyd
select.pyd
unicodedata.pyd