代码搜索：Patterns

找到约 8,017 项符合「Patterns」的源代码

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m information_based_selection.m

function [patterns, targets, remaining_patterns] = Information_based_selection(patterns, targets, Npatterns) % Koller and Sawami algorithm for pattern selection % % train_patterns - Input pattern
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m nearestneighborediting.m

function [patterns, targets] = NearestNeighborEditing(train_patterns, train_targets, Nmu, plot_on) %Reduce the number of data points using the nearest neighbor editing algorithm %Inputs: % train_
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m addc.m

function [patterns, targets] = ADDC(train_patterns, train_targets, Nmu, plot_on) %Reduce the number of data points using the Agglomerative clustering algorithm %Inputs: % train_patterns - Input p
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m nddf.m

function [test_targets, g0, g1] = NDDF(train_patterns, train_targets, test_patterns, cost) % Classify using the normal density discriminant function % Inputs: % train_patterns - Train patterns
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m kohonen_sofm.m

function [patterns, targets, label] = Kohonen_SOFM(train_patterns, train_targets, params, plot_on) %Reduce the number of data points using a Kohonen self-orgenizing pattern map algorithm %Inputs:
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m information_based_selection.m

function [patterns, targets, remaining_patterns] = Information_based_selection(patterns, targets, Npatterns) % Koller and Sawami algorithm for pattern selection % % train_patterns - Input pattern
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m ml_ii.m

function test_targets = ML_II(train_patterns, train_targets, test_patterns, Ngaussians) % Classify using the ML-II algorithm. This function accepts as inputs the maximum number % of Gaussians per
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tex index.tex

\par \par \footnotesize DMTL\normalsize (Data Mining Template Library) is a frequent patter mining library to mine frequent patterns from massive datasets. It is developed in C++ language by adoptin
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html syntax.html

Features for Programming Syntax Highlighting Syntax Highlighting means using colors and fonts to help di
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n case.n

'\" '\" Copyright (c) 1993 The Regents of the University of California. '\" Copyright (c) 1994-1996 Sun Microsystems, Inc. '\" '\" See the file "license.terms" for information on usage and redistribut
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