Index

Note: Page numbers followed by “f” indicate figures and “t” indicate tables.’
A
Adjusted Rand Index (ARI), 31, 79–80
Akaike information criterion (AIC), 3
Average linkage, 24–25
B
Bagging, 36, 77
Bayesian criterion (BIC), 3
Boosting, 36–37, 77
C
CAVIAR database, 69–70, 70f, 105, 125
Cluster-based similarity partitioning algorithm, 46–47, 47f
Clustering algorithms
defined, 19–20
density-based clustering, 26–27
hierarchical clustering, 23–26
model-based clustering, 27–30
EM algorithm, 28
Hidden Markov Model(HMM)-based hierarchical metaclustering, 29–30
Hidden Markov Model(HMM)-based hybrid partitional-hierarchical clustering, 29
overview, 20–30, 21t
partitional clustering, 20–23
validation, 30–33
Adjusted Rand Index (ARI), 31
classification accuracy, 31
Davis-Bouldin ...

Get Temporal Data Mining via Unsupervised Ensemble Learning now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.