Searched refs:KMEANS (Results 1 – 10 of 10) sorted by relevance
| /dports/math/cmlib/cmlib-3.0_8/src/cluster/ |
| H A D | kmeans.f | 1 SUBROUTINE KMEANS(N, X, K, XMISS, DMSUM1, DMSUM2, SUM, JMIN, DMIN) subroutine
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| H A D | build.f | 157 CALL KMEANS(N, WORK, KK, XMISS, DMSUM1, DMSUM2, SUM,
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| /dports/graphics/opencv/opencv-4.5.3/modules/flann/include/opencv2/flann/ |
| H A D | defines.h | 85 KMEANS = 2, enumerator
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| /dports/graphics/hugin/hugin-2020.0.0/src/foreign/flann/ |
| H A D | defines.h | 93 KMEANS = 2, enumerator
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| /dports/math/R-cran-RHmm/RHmm/man/ |
| H A D | HMMFit.rd | 66 …\item{init}{Kind of initialisation ='KMEANS' (for univariate or multivariate normal distributions)…
122 control=list(verbose=1, init="KMEANS"),
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| /dports/lang/newlisp/newlisp-10.7.5/ |
| H A D | primes.h | 208 #ifdef KMEANS
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| H A D | newlisp.h | 32 #define KMEANS macro
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| H A D | nl-matrix.c | 529 #ifdef KMEANS
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| /dports/graphics/py-mapclassify/mapclassify-2.4.3/mapclassify/ |
| H A D | classifiers.py | 7 from sklearn.cluster import KMeans as KMEANS unknown
453 result = KMEANS(n_clusters=k, init="k-means++", n_init=n_init).fit(y)
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| /dports/graphics/dataplot/dataplot-2c1b27601a3b7523449de612613eadeead9a8f70/src/ |
| H A D | cluster.F | 886 CALL KMEANS(N, WORK, KK, XMISS, DMSUM1, DMSUM2, SUM,
1906 SUBROUTINE KMEANS(N, X, K, XMISS, DMSUM1, DMSUM2, SUM, JMIN, DMIN) subroutine
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