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Nikronic
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K-MCI
This is an implementation of K-MCI algorithm in python.
Apache License 2.0
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Build Kmeans class with new Fitness function instead the internal one
#21
Nikronic
closed
5 years ago
1
Fitness function implementation not matched with paper
#20
Nikronic
opened
5 years ago
0
Paper's numbers
#19
hamed-faraji
closed
5 years ago
2
Our standardization method should give higher fitness compare to article fitness.
#18
Nikronic
closed
6 years ago
1
Answer
#17
hamed-faraji
closed
5 years ago
1
Sampling Intervals
#16
hamed-faraji
closed
6 years ago
1
Influence each center fitness to algorithm instead of candidate fitness
#15
hamed-faraji
opened
6 years ago
1
Mutation problem
#14
hamed-faraji
opened
6 years ago
0
Selecting random between mutated candidate and original candidate.
#13
Nikronic
closed
6 years ago
0
Selecting random between mutated candidate and original candidate.
#12
Nikronic
closed
6 years ago
1
K-means++ for initial centers is **WRONG**
#11
hamed-faraji
closed
6 years ago
3
Number of iteration in Kmean algorithm not defined.
#10
Nikronic
closed
6 years ago
0
convergence parameter not specified in the article.
#9
Nikronic
opened
6 years ago
2
Getting all necessary variables for Candidate parametrs as Kmean fit
#8
Nikronic
closed
6 years ago
2
Why you assigning sampling_intervals to clusters_centers for fitting Kmean?
#7
Nikronic
closed
6 years ago
1
We need initial of centers in K-Means algorithm
#6
hamed-faraji
closed
6 years ago
1
'TypeError: 'Candidate' object does not support item assignment
#5
hamed-faraji
closed
6 years ago
1
Jupyter notebook cannot understand any changes in our classes. So we have to copy all code to the jupyter and remove our classes. So sorry for this big problem in Jupyter and Python.
#4
Nikronic
closed
6 years ago
0
Assignment
#3
hamed-faraji
closed
6 years ago
2
I think we should start main algorithm of project on Jupyter Notebook
#2
Nikronic
closed
6 years ago
1
initial candidates - Hamed
#1
hamed-faraji
closed
6 years ago
2