Tuesday, August 21, 2012

[Machine Learning] clustering, again

I had posted few blogs about clustering:

K-means + heatmap
Clustering in R
SOM (Self-organizing map)
DTW (Dynamic Time Warping)

However, still feel not confident to some/many concepts in clustering. Following the study of Manduca Sexta, I will read more, including the following two references:

Different distance functions:

The C Clustering Library provided by Michiel de Hoon et al. (the authors of Cluster)

The expect output will be a more detailed post in clustering, esp. how to select the right distance functions and clustering methods according to different data type and questions. 

To be continued...

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