contents.m

一个关于数据聚类和模式识别的程序,在生物化学,化学中因该都可以用到.希望对大家有用,谢谢支持

% DCPR Toolbox: Data Clustering and Pattern Recognition Toolbox
%
% Test Data Generation:
%	randn2	- Generate 2D Gaussian-distributed data
%	dcdata	- Generate data for data clustering algorithms
%
% Unsupervised Data Modeling:
%	Principal Component Analysis (PCA):
%		pca	- Principal component analysis
%		pca1	- Principal component analysis
%		tpca	- Testing principal component analysis
%	Gaussian Mixture Model (GMM) using EM (Expectation Maximization):
%		gmm	- Using EM (Expectation Maximization) to tune GMM
%		evalgmm	- Evaluate a GMM model
%		tgmm1	- Test GMM with 1D data
%		tgmm2	- Test GMM with 2D data
%
% Data Clustering:
%	K-means:
%		kmeans	- K-means clustering
%		initkm	- Initial centers for kmeans
%		stepkm	- Each step in kmeans
%		validate- Script for cluster validation
%
%	K-means (based on distance matrix only):
%		kmeans2	- K-means clustering (using distance matrix only)
%		initkm2	- Initial centers for kmeans2
%		stepkm2	- Each step in kmeans2
%		kmeans2mex.c	- C version by Gao (?)
%		tkmeans2- Test program for tkmeans2
%		table.mat - Test data for tkmeans2
%	Agglomerative Hierarchical Clustering:
%		aggclust	- Aggomerative hierarchical clustering
%		dendro	- Plot dendrogram for hierarchical clustering 
%		hclustdm	- Demo for hierarchicaly clustering
%
% Classification Methods:
%	K-Nearest Neighbor:
%		knn	- K-nearest neighbor
%		looknn	- Leave-one-out error estimate using KNN
%		try	- Recognition rates for various "k" in KNN
%		sfselect- Sequential forward input selection (based on looknn)
%		knniris	- Use knn.m to classify IRIS data
%		knnaba	- Use knn.m to classify ABALONE data
%		tldaloo	- Test the performance of leave-one-out under LDA
%	Fuzzy K-Nearest Neighbor:
%		fknn	- Fuzzy k-nearest neighbor
%		initfknn	- Initialize fknn
%		tfknn	- Test fknn
%		dec2pos	- Transformation of output class representation
%
% Data Size Reduction:
%	editdm	- Demo for data editing
%	conddm	- Demo for data condensing
%
% Feature Extraction/Transformation:
%	lda	- Linear discriminant analysis
%
% Elastic Distance (Similarity) Measures:
%	lcs	- Longest common subsequence
%	dtw	- Dynamic time warping
%	xcorrtxt	- Cross correlation between two text string
%
% Utility Functions:
%	vecdist	- Compute distances between two sets of vectors
%	vecdot	- Compute cosine of angles between two sets of vectors
%	counetle	- Count elements in a vector
%	gaussian	- Multidimenaional Gaussian distribution function
%
% Visualization Functions:
%	projfea1	- Plots of the projection of a feature matrix
%				(No class information)
%	projfea2	- Plots of the projection of a feature matrix
%				(Class information is the last column)