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Search - cluster decomposition - List
[
Graph program
]
cluster_algorithm
DL : 0
包括分解聚类算法和k-均值聚类算法,内有用到的数据文本文件,开发环境Visual Studio .NET2003-Including the decomposition clustering algorithm and k-means clustering algorithm, with useful data to a text file, development environment Visual Studio. NET2003
Date
: 2025-07-06
Size
: 997kb
User
:
杨洋
[
matlab
]
Cluster
DL : 0
使用分解聚类算法在IRIS数据上进行聚类分析,IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成,模式类别数为3,特征维数是4,每类各有50个模式样本,总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the measurement results, models for category 3, 4 are characteristic dimension, of each type of each 50 model samples, a total of 150 samples.
Date
: 2025-07-06
Size
: 3kb
User
:
liz
[
MPI
]
fft
DL : 0
OpenMP 实现FFT 分解 曙光 4000A集群-OpenMP to achieve FFT decomposition of Dawning 4000A cluster
Date
: 2025-07-06
Size
: 2kb
User
:
liuqiang
[
MPI
]
qr
DL : 0
OpenMP 实现QR 分解 环境 曙光 4000A集群-OpenMP to achieve QR decomposition Dawning 4000A cluster environment
Date
: 2025-07-06
Size
: 2kb
User
:
liuqiang
[
Other
]
Cmeansclusteringmethods
DL : 0
本算法在vc++6.0中进行实验。分别就分解聚类和C-均值聚类两种方法在IRIS数据集上进行操作。分类前先将数据集中的样本顺序打乱形成混合数据。分解聚类中,采用前100个样本用对分法编制程序将数据分为两类。C-均值聚类采用全部的150个样本,将类别参数K设为3,将数据分为三类。-The algorithm in vc++6.0 in the experiment. Separate cluster and decomposition of two C-means clustering methods operate on the IRIS data set. Classification of samples before the first data set in order disrupt the formation of mixed data. Decomposition clustering using the top 100 on the sub-samples prepared with the program data into two categories. C-means clustering using all 150 samples, the type of parameter K set to 3, the data into three categories.
Date
: 2025-07-06
Size
: 2kb
User
:
万鹏程
[
AI-NN-PR
]
Cluster
DL : 0
模式识别领域的分解聚类算法,具有很好的分类效果以及运行速度-Decomposition clustering algorithm pattern recognition field, with better classification performance and speed
Date
: 2025-07-06
Size
: 1kb
User
:
邓俊俊
[
ARM-PowerPC-ColdFire-MIPS
]
king_vp21
DL : 0
Including AHP, factor analysis, regression analysis, cluster analysis, By applying the beam forming technology of BER Pisarenko harmonic decomposition algorithm.
Date
: 2025-07-06
Size
: 42kb
User
:
程宏来
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