search for: fowlk

Dear all, I am having a hard time to figure out a suitable test for the match between two nominal classifications of the same set of data. I have used hierarchical clustering with multiple methods (ward, k-means,...) to classify my dat into a set number of classesa, and I would like to compare the resulting automated classification with the actual - objective benchmark one. So in principle I

...s a ClusterEvaluation class) so that users can get output on how they can improve their clustering by passing in the ClusterSet (and the labels if necessary). The cluster evaluation techniques that I would like to consider are : a) Silhouette coefficient b) Adjusted Rand Index c) Fowlkes Mallows index d) F - Measure e) Homogeneity, Completeness and V-Measure 2) Dimensionality Reduction Due to high dimensionality of text documents, it is necessary to have atleast one semantic dimensionality reduction technique. For this, I would like to implement Latent Semantic Analy...

Hello, I've recently finished with an implementation of KMeans with two initialization techniques, random initialization and KMeans++. I would like to share my findings after evaluating the same. I have tested this implementation of KMeans with a BBC news article dataset. I am currently working on evaluating the same with FIRE datasets. Currently, clustering more than 500 documents

...a data set. A partition isn't quite the same in this > > context because partitioned data are not restricted to a fixed number of > > classes. However, the statistics used to compare partitions should also > > work for these 'restricted' partitions. See the Rand index, Fowlkes and > > Mallows index, Wallace indices, and the Jaccard index. The profdpm > > package implements a function (?profdpm::pci) that computes these > > indices for two factors representing partitions of the same data. > > > > The difficult part is drawing statistical in...