matclustering.methods.coclustering namespace

Submodules

matclustering.methods.coclustering.OCoClus module

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

The present application offers a tool, to support the user in the clustering 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

• Yuri Santos

class matclustering.methods.coclustering.OCoClus.OCoClus(random_state=1, n_jobs=1, verbose=False)

Bases: TrajectoryClustering

create(config=None)

fit(X, config=None)

if_config(config=None)

matclustering.methods.coclustering.SSOCoClus module

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

The present application offers a tool, to support the user in the clustering 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

• Yuri Santos

class matclustering.methods.coclustering.SSOCoClus.SSOCoClus(random_state=1, n_jobs=1, verbose=False)

Bases: TrajectoryClustering

create(config=None)

fit(X, config=None)

if_config(config=None)