Table 1 Clustering parameters
From: A big data methodology for categorising technical support requests using Hadoop and Mahout
Parameter | Value |
|---|---|
k (k-means) | 40 |
T1 (Canopy clustering) | 1.0 |
T2 (Canopy clustering) | 1.4 |
Fuzziness Factor (Fuzzy-kmeans) | 1.05 |
Dirichlet Clusters | 50 |
Max Dirichlet Iterations | 10 |
LDA Clusters | 50 |
Words in Corpus | 12886 |
Max LDA Iterations | 30 |