Clustering of datasets with missing values using principal feature analysis as a feature selection tool

Clustering of datasets with missing values using principal feature analysis as a feature selection tool

One of the most prevalent problems

Podrobná bibliografie
Hlavní autor: Pelpinosas, Frank B.
Médium: Diplomová práce
Jazyk:English
Vydáno: 2008
Témata:
Clustering.
Feature selections.
Missing values.
PFA Principal feature analysis.
Datasets.
Adjusted Rand Index.
MCAR (Missing completely at random)