mfeat_pix

<p>This dataset consists of features of handwritten numerals (`0'--`9') extracted from a collection of Dutch utility maps. 200 patterns per class (for a total of 2,000 patterns) have been digitized in binary images. This dataset is about 240 pixel averages in 2 x 3 windows</p>

datasets

Nonlinear machine learning tool for classification, clustering
and dimensionality reduction. It integrates 12 q-kernel functions and
15 conditional negative definite kernel functions and includes the
q-kernel and conditional negative definite kernel version of
density-based spatial clustering of applications with noise,
spectral clustering, generalized discriminant analysis, principal
component analysis, multidimensional scaling, locally linear embedding,
sammon's mapping and t-Distributed stochastic neighbor embedding.

Yusen Zhang

qkerntool

Q-Kernel-Based and Conditionally Negative Definite Kernel-Based
Machine Learning Tools

Daolin Pang

Jinghao Wang

Jialin Zhang

mfeat_pix function

<p>A data frame with 2000 observations on the following 240 variables.</p>

Format

mfeat_pix dataset — mfeat_pix

mfeat_pix dataset

mfeat_pix: mfeat_pix dataset

Description

Usage

Arguments

Format

Examples