文件名称:FPDC-toolbox
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最新基于概率分布的FPDC聚类算法，内涵实例-Probabilistic distance clustering (PD-clustering) is an iterative, distribution free, probabilistic clustering method. PD-clustering assigns units to a cluster according to their probability of membership, under the constraint that the product of the probability and the distance of each point to any cluster center is a constant. PD-clustering is a flexible method that can be used with non-spherical clusters, outliers, or noisy data. Factor PD-clustering (FPDC) is a recently proposed factor clustering method that involves a linear transformation of variables and a cluster optimizing the PD-clustering criterion. It allows us to cluster high dimensional data sets.
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下载文件列表
FPDC toolbox copy\.DS_Store
__MACOSX\FPDC toolbox copy\._.DS_Store
FPDC toolbox copy\Example_FPDC.m
__MACOSX\FPDC toolbox copy\._Example_FPDC.m
FPDC toolbox copy\FPDC.m
__MACOSX\FPDC toolbox copy\._FPDC.m
FPDC toolbox copy\PDclust.m
__MACOSX\FPDC toolbox copy\._PDclust.m
FPDC toolbox copy\Silh.m
__MACOSX\FPDC toolbox copy\._Silh.m
FPDC toolbox copy\splomcluster.m
__MACOSX\FPDC toolbox copy\._splomcluster.m
FPDC toolbox copy\table.png
__MACOSX\FPDC toolbox copy\._table.png
FPDC toolbox copy\TuckerFactors.m
__MACOSX\FPDC toolbox copy\._TuckerFactors.m
FPDC toolbox copy\used functions\.DS_Store
__MACOSX\FPDC toolbox copy\used functions\._.DS_Store
FPDC toolbox copy\used functions\dis.m
__MACOSX\FPDC toolbox copy\used functions\._dis.m
FPDC toolbox copy\used functions\disS.m
.................\..............\graficobn2d.m
__MACOSX\FPDC toolbox copy\used functions\._graficobn2d.m
FPDC toolbox copy\used functions\isin.m
license.txt