|
Class Summary |
| AttributeVector |
Class defins a single vector that is to be used in the k-meana clustering method. |
| Cluster |
Cluster class that clusters all proximal vectors. |
| ClusterDriver |
Class that runs the k-means clustering algorithm. |
| ClusterUtils |
Class defines worker functions bear the brunt of the work to implement k-means clustering |
| NormalizeMinMax |
Class that implements NormalizeVectorAttributes. |
| StatDriver |
Responsible for the logic to compute the aggregate statistics for each stock and
to send updates to the database to load those statistics into the table. |
| SuperCluster |
Singleto class is the main collection of all clusters. |
| VectorField |
Defines the lowest level storage structure for the lists of data
that will be stored by the vector that owns this, and many other
VectorFields. |