a.txt

将Weka数据挖掘工具所产生的K-MEANS和DBSCAN结果转化成MATLAB可输出三维图像的格式

=== Run information ===

Scheme:       weka.clusterers.SimpleKMeans -N 3 -S 10
Relation:     BC
Instances:    87
Attributes:   16
              age
              BI-RADS-L
              BI-RADS-R
Ignored:
              focus_num
              Mass
              Mass_pos1
              Mass
              Mass_pos2
              ARD
              ARD_pos
              ASD
              ASD_pos
              Cal
              Cal_pos1
              Cal
              Cal_pos2
Test mode:    evaluate on training data

=== Model and evaluation on training set ===


kMeans
======

Number of iterations: 8
Within cluster sum of squared errors: 9.29687574318633

Cluster centroids:

Cluster 0
	Mean/Mode:  51.6061  2.6212  0.1515
	Std Devs:    8.5438  2.0239  0.3641
Cluster 1
	Mean/Mode:  49.1786  2.9429  2.4643
	Std Devs:    7.3638  1.1364  0.6372
Cluster 2
	Mean/Mode:  58.1538  0.8846  4.2192
	Std Devs:   12.0489  1.0325  0.9847

Clustered Instances

0      33 ( 38%)
1      28 ( 32%)
2      26 ( 30%)