kernlab

kernlab

Kernlab is a specialized machine learning software offering a range of kernel-based methods for tasks such as classification, regression, clustering, novelty detection, and dimensionality reduction. It features robust algorithms like Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes, and a quadratic programming solver. For more information, visit https://CRAN.R-project.org/package=kernlab.

Top kernlab Alternatives

1

tree

Tree is a machine learning software designed for classification and regression tasks.

By: R Project From Austria
2

Random Forest

Random Forest is a machine learning software that utilizes an ensemble of decision trees for classification and regression tasks.

By: R Project From Austria
3

Machine Learning in R

The package offers a robust interface for various classification and regression techniques, featuring machine-readable parameter descriptions.

By: R Project From Austria
4

CoxBoost

CoxBoost is a sophisticated machine learning software designed for survival analysis, employing boosting techniques to enhance the estimation of Cox proportional hazards models.

By: R Project From Austria
5

FPS

The FPS package offers a robust suite of clustering methods and validation techniques, including fixed point clustering and DBSCAN.

By: R Project From Austria
6

Quantile Regression Forests

Quantile Regression Forests is a robust machine learning software designed for estimating conditional quantiles in high-dimensional datasets.

By: R Project From Austria
7

oblique.tree

It enables users to construct trees that can split data along oblique hyperplanes, enhancing predictive...

By: R Project From Austria
8

LogicReg

Users can explore advanced modeling techniques using this robust tool...

By: R Project From Austria
9

tgp

It encompasses various models, including Bayesian linear models and stationary GPs, while offering visualizations like...

By: R Project From Austria
10

Rmalschains

This methodology, rooted in the research of Molina et al., is designed to efficiently tackle...

By: R Project From Austria
11

svmpath

This advanced machine learning software enables users to explore model performance across various regularization parameters...

By: R Project From Austria
12

C5.0: Decision Trees and Rule-Based Models

It excels in pattern recognition, offering enhanced performance and flexibility for data analysis tasks...

By: R Project From Austria
13

CORElearn

It encompasses models like random forests, kNN, and naive Bayes, with predictive outputs explainable via...

By: R Project From Austria
14

Cubist

It effectively combines the interpretability of decision rules with the adaptability of instance-based learning, making...

By: R Project From Austria
15

RGP

Although it has been archived since January 2, 2018, users can still access previous versions...

By: R Project From Austria