24 citations · 78 across the 6 of their papers we have counts for
4 papers · 1 filter
Dimension Reduction of Health Data Clustering
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdullah Embong
The current data tends to be more complex than conventional data and need dimension reduction. Dimension reduction is important in cluster analysis and creates a smaller data in vo…
A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdullah Embong
There are many clustering methods, such as hierarchical clustering method. Most of the approaches to the clustering of variables encountered in the literature are of hierarchical t…
Cluster Evaluation of Density Based Subspace Clustering
Rahmat Widia Sembiring, Jasni Mohamad Zain
Clustering real world data often faced with curse of dimensionality, where real world data often consist of many dimensions. Multidimensional data clustering evaluation can be done…
Clustering high dimensional data using subspace and projected clustering algorithms
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdullah Embong
Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerates…