Improvement of K-means clustering algorithm with better initial centroids based on weighted average
Clustering is the process of grouping similar data into a set of clusters. Cluster analysis is
one of the major data analysis techniques and k-means one of the most popular partitioning …
one of the major data analysis techniques and k-means one of the most popular partitioning …
The k-means Algorithm: A Comprehensive Survey and Performance Evaluation
The k-means clustering algorithm is considered one of the most powerful and popular data
mining algorithms in the research community. However, despite its popularity, the algorithm …
mining algorithms in the research community. However, despite its popularity, the algorithm …
[PDF][PDF] A comparative study on distance measuring approaches for clustering
S Pandit, S Gupta - International journal of research in computer science, 2011 - Citeseer
Clustering plays a vital role in the various areas of research like Data Mining, Image
Retrieval, Bio-computing and many a lot. Distance measure plays an important role in …
Retrieval, Bio-computing and many a lot. Distance measure plays an important role in …
Clustering analysis using an adaptive fused distance
The selection of a proper distance function is crucial for analyzing the data efficiently. To find
an appropriate distance for clustering algorithm is an unsolved problem as of now. The …
an appropriate distance for clustering algorithm is an unsolved problem as of now. The …
[PDF][PDF] Efficiency of k-means and k-medoids algorithms for clustering arbitrary data points
T Velmurugan - Int. J. Computer Technology & Applications, 2012 - academia.edu
There are number of techniques proposed by several researchers to analyze the
performance of clustering algorithms in data mining. All these techniques are not suggesting …
performance of clustering algorithms in data mining. All these techniques are not suggesting …
[PDF][PDF] K-Means clustering optimization using the elbow method and early centroid determination based-on mean and median
E Umargono, JE Suseno, S Gunawan - Proceedings of the …, 2019 - scitepress.org
The most widely used algorithm in the cluster partitioning method is the K-Means algorithm.
Historically K-Means is still the best grouping algorithm among other grouping algorithms …
Historically K-Means is still the best grouping algorithm among other grouping algorithms …