This file contains a number of randomly generated datasets. The properties of each dataset are indicated in the name of each respective file: 'C' indicates the number of classes, 'F' indicates the number of features, 'Ne' indicates the number of objects contained in each class, 'A' is related to the average separation between classes and 'R' is an index used to differentiate distinct random trials. So, for instance, the file C2F10N2Ne5A1.2R0 is a dataset containing 2 classes, 10 features, 5 objects for each class and having a typical separation between classes of 1.2. The methodology used for generating the datasets is described in the accompanying reference.<br
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
The synthetic data set has 600 points that form 20 clusters with 30 points each in 2 dimensions. The...
Clustering is the partitioning of a set of objects into groups (clusters) so that objects within a g...
182 simulated datasets (first set contains small datasets and second set contains large datasets) wi...
182 simulated datasets (first set contains small datasets and second set contains large datasets) wi...
182 simulated datasets (first set contains small datasets and second set contains large datasets) wi...
This is a real dataset for testing our hybrid clustering algorithm, and details can be found in our ...
182 simulated datasets (first set contains small datasets and second set contains large datasets) wi...
The file contains 18 datasets, including 12 UCI synthetic datasets and 6 real datasets. The syntheti...
Clustering algorithms divide data into meaningful or useful groups, called clusters, such that the i...
Clustering is the partitioning of a set of objects into groups (clusters) so that objects within a g...
Research on the problem of clustering tends to be fragmented across the pattern recognition, databas...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
The synthetic data set has 600 points that form 20 clusters with 30 points each in 2 dimensions. The...
For each partition of a data set into a given number of parts there is a partition such that every p...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
The synthetic data set has 600 points that form 20 clusters with 30 points each in 2 dimensions. The...
Clustering is the partitioning of a set of objects into groups (clusters) so that objects within a g...
182 simulated datasets (first set contains small datasets and second set contains large datasets) wi...
182 simulated datasets (first set contains small datasets and second set contains large datasets) wi...
182 simulated datasets (first set contains small datasets and second set contains large datasets) wi...
This is a real dataset for testing our hybrid clustering algorithm, and details can be found in our ...
182 simulated datasets (first set contains small datasets and second set contains large datasets) wi...
The file contains 18 datasets, including 12 UCI synthetic datasets and 6 real datasets. The syntheti...
Clustering algorithms divide data into meaningful or useful groups, called clusters, such that the i...
Clustering is the partitioning of a set of objects into groups (clusters) so that objects within a g...
Research on the problem of clustering tends to be fragmented across the pattern recognition, databas...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
The synthetic data set has 600 points that form 20 clusters with 30 points each in 2 dimensions. The...
For each partition of a data set into a given number of parts there is a partition such that every p...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
The synthetic data set has 600 points that form 20 clusters with 30 points each in 2 dimensions. The...
Clustering is the partitioning of a set of objects into groups (clusters) so that objects within a g...