Clustering high dimensional data using RIA
Clustering may simply represent a convenient method for organizing a large data set so that it can easily be understood and information can efficiently be retrieved.However, identifying cluster in high dimensionality data sets is a difficult task because of the curse of dimensionality. Another chall...
Main Author: | Aziz, Nazrina |
---|---|
Format: | Conference or Workshop Item |
Published: |
2015
|
Subjects: |
Similar Items
-
Influence angel cluster approach for data clustering
by: Aziz, Nazrina, et al.
Published: (2010) -
Clustering High Dimensional Data Using Subspace And Projected Clustering Algorithms
by: Sembiring, Rahmat Widia, et al.
Published: (2010) -
Eigenstructure-based angle for detecting outliers in multivariate data
by: Aziz, Nazrina
Published: (2014) -
High dimensional clustering for mixture models
by: Liu, Yiming
Published: (2020) -
Data clustering using maximum dependency of attributes and its application to cluster agricultural products
by: Hafiz Kamal, Leang
Published: (2012)