Main Content
2 results
This is a hierarchical clustering approach using maximum likelihood estimate.
A clustering algorithm using iterative maximum likelihood
Demo.m
- Run this code to check SIML
func_Iterative_ML_SmallDim(X,class,var,MaxIteration,InitMethod,MeanC1)
- [Cluster,Ltot,CPUTime,Iteration] = func_Iterative_ML_SmallDim(X,class,var)
func_SOML(X,class,var,MaxIteration,InitMethod,Repeat)
- [Cluster,MaxLtot,DelLtot,Iteration] = func_SOML(X,class,var,MaxIteration,InitMethod,Repeat)
SIML(X,class,var,MaxIteration,InitMethod,Repeat)
- [Cluster,MaxLtot,DelLtot] = SIML(X,class,var,MaxIteration,InitMethod,Repeat)
You can also select a web site from the following list
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom(English)
Asia Pacific
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)