• The effect of mining data k-means clustering toward ...
• The effect of mining data k-means clustering toward ...
• Performance of K-Means and PAM Algorithms Based on ...
• Classification of Drug Data Usage Using the K-Means ...
• Implementation of Data Mining using K-Means Algorithm ...
• Hierarchical and K-means Clustering in the Line Drawing ...

The effect of mining data k-means clustering toward ...

The K-means algorithm effectively clusters drug data at Asri Purwakarta Hospital, classifying them into high and low usage clusters, aiding in drug?...

The effect of mining data k-means clustering toward ...

Data used was the line drawing dataset that consisted of 180 drawings classified into six clusters. The results showed that the HGoFP, KMGoFP, HOPA and KMOPA?...

Performance of K-Means and PAM Algorithms Based on ...

... Data mining with K-means clustering has played a crucial role in identifying students at risk of dropping out and facilitating timely interventions.

Classification of Drug Data Usage Using the K-Means ...

In this study the authors used the K-Means clustering algorithm to classify death rates in data on causes of death in Indonesia from 2017-2021.

Implementation of Data Mining using K-Means Algorithm ...

The result of process of K-Means Clustering could known that students who more potentially drop out were in Cluster 1 caused Credit Total System, Quality Total,?...

Hierarchical and K-means Clustering in the Line Drawing ...

Grouping data of prospective new students is done by using clustering method with K-Means Algorithm, which is one of the methods of grouping non?...