Clustering tools
Clustering tools are
beneficial when you want to find structure or clusters in data, but dont
necessarily have a target variable. Clustering is used often in marketing
research applications as well as many others. This session looks at the
clustering tools available in STATISTICA Data Miner and demonstrates the
K-means clustering tool as well as the Kohonen network clustering tool.
Weka is a collection of
machine learning algorithms for data mining tasks. The algorithms can either be
applied directly to a dataset or called from your own Java code. Weka contains
tools for data pre-processing, classification, regression, clustering,
association rules, and visualization. It is also well-suited for developing new
machine learning schemes.
List of clustering
tools:
1.
CLUTO
2.
Model based clustering
3.
Open source clustering software
4.
Online software for clustering
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