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One Matrix CIM
Two Matrix CIM
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Step 1:
Select input file
(Detailed description of the
input file
is available.)
Input should be a text file with '.txt' extension
(example file)
. CIMminer only accepts tab delimited text files.
(limit 1000 rows)
Step 2:
Your E-mail Address
Step 3:
Fine tune image
Use defaults
Advanced options
Notice: When selecting the Jaccard metric, the dataset entries MUST consist exclusively of 0's and 1's.
Cluster rows:
Distance method:
Euclidean
Correlation
Manhattan
Maximum
Canberra
Jaccard
Minkowski
Cosine
Absolute Correlation
Cluster algorithm:
Average Linkage
Complete Linkage
Single Linkage
Ward
Mcquitty
Median
Centroid
Cluster columns:
Distance algorithm:
Euclidean
Correlation
Manhattan
Maximum
Canberra
Jaccard
Minkowski
Cosine
Absolute Correlation
Cluster method:
Average Linkage
Complete Linkage
Single Linkage
Ward
Mcquitty
Median
Centroid
Randomize rows:
Randomize columns:
DO NOT cluster rows:
(keep original order)
DO NOT cluster columns:
(keep original order)
Select the binning algorythm which will determine how colors are assigned to values.
Equal width
Quantile