matmodel.representative package

Submodules

matmodel.representative.representative module

MAT-Tools: Python Framework for Multiple Aspect Trajectory Data Mining

The present application offers a tool, to support the user in the modeling of multiple aspect trajectory data. It integrates into a unique framework for multiple aspects trajectories and in general for multidimensional sequence data mining methods. Copyright (C) 2022, MIT license (this portion of code is subject to licensing from source project distribution)

Created on Apr, 2024 Copyright (C) 2024, License GPL Version 3 or superior (see LICENSE file)

Authors:

  • Tarlis Portela

  • Vanessa Lago Machado

class matmodel.representative.representative.RepresentativeCell(points=None)[source]

Bases: object

Represents a cell that contains multiple points, possibly grouped into representative points.

Attributes:

points (list, optional):

List of points that belong to this cell.

class matmodel.representative.representative.RepresentativePoint(seq, aspects, cell=None, points=None)[source]

Bases: Point

Represents a point within a representative trajectory, optionally linked to a cell and multiple points.

Inherits from:

  • Point: Represents a single point in the trajectory described by multiple aspects.

Attributes:

cell (RepresentativeCell, optional):

The cell associated with this point.

points (list, optional):

List of points that this representative point represents.

class matmodel.representative.representative.RepresentativeTrajectory(tid, label, new_points, data_desc)[source]

Bases: Trajectory

Represents a trajectory that serves as a representative of a group or cluster of trajectories.

Inherits from:

  • Trajectory: A sequence of points, each described by multiple aspects.

Attributes:

Inherits all attributes from the Trajectory class.

Module contents