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Big data processing: Data clustering

2014-10-17 00:00:16
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K-meansK-means MatlabMatlab


Enables users of movie data k-means Clustering gives an optimum number of clustering. Using k-means algorithm realization for clustering large data, get the best number of clusters. K-means algorithm is typical of a distance-based clustering algorithm using evaluation as a similarity index, which holds that the distance between two objects, the closer, the greater its similarity. The algorithm that cluster is composed of near objects, so separate clusters are compact and as the ultimate goal.

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Name Size Date
km.m1.66 kB04-12-13 10:35
wde.m44.00 B03-12-13 14:33
shuju.xlsx317.57 kB03-12-13 14:32
jieguo.xlsx320.92 kB04-12-13 10:35
<聚类>0.00 B04-12-13 10:57
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Big data processing: Data clustering (152.05 kB)

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