First, the VMC subspace method will solve for an optimal solution over a selected subspace.
RF is an ensemble method for classification built from a set of decision trees that grow in randomly selected subspaces of data.
All molecules were initially distributed into randomly selected subspaces of their own compartments with equal probability, and 99.2% of the membrane proteins clustered within 1.2 × 106 steps under standard conditions.
On the very top of SubVIS, the user can investigate different properties of the (selected) subspace clusters by means of interactive barcharts (c.f. Fig. 3 ①).
Through the VMC approaches, the state and control variables in the kinematics or dynamics models of vehicles in the selected subspace can be represented by a single degree-of-freedom vector, called the path control parameter vector.
From a global analysis accomplished over the 33 metabolic pool libraries, one note that metabolites participation vary depending of the selected subspace.
The dimensions are ordered according to their number of occurrences in the selected subspace clusters within the MDS projection.
OCFS aims at finding a subset of features that can make the sum of distances between all the class means maximized in the selected subspace.
After dividing the search space into a set of disjoint subsets, this approach uses GA to select the subspaces, and applies TS to each selected subspace.
Currently, visual data mining technique of selecting subspace from the entire feature spaces and subsequently finding the relevant data patterns also require effective data management techniques.
