Agglomerative fuzzy K-Means clustering algorithm with selection of number of clusters

Keyphrases

• Number of Clusters 100%
• K-means Clustering Algorithm 100%
• Agglomerative 100%
• Clustering Results 66%
• Consistent Clustering 66%
• Initial Cluster Centers 66%
• Method Validation 33%
• Synthetic Data 33%
• Clustering Process 33%
• K-means 33%
• Numerical Data 33%
• Penalty Term 33%
• Cluster Validity Index 33%
• Birch 33%
• Two-dimensional Data 33%
• K-means Algorithm 33%

Computer Science

• Clustering Result 100%
• k-means Clustering 100%
• Experimental Result 50%
• Synthetic Data 50%
• Objective Function 50%
• clustering process 50%
• Mean Algorithm 50%
• Numerical Data 50%
• K-Means Clustering 50%
• Dimensional Data Set 50%
• Validation Technique 50%

Mathematics

• Clustering Algorithm 100%
• K-Means 100%
• Cluster Center 50%
• Dimensional Data 25%
• Clustering 25%
• Synthetic Data 25%
• Objective Function 25%
• Numerical Data 25%