Comparison of two-dimensional projection of iris data set based on LDA and PCA algorithms - Code World

Comparison of two-dimensional projection of iris data set based on LDA and PCA algorithms

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Comparison of two-dimensional projection of iris data set based on LDA and PCA algorithms

LDA and PCA Algorithms

PCA dimensionality reduction - two implementations:. SVD or EVD powerful summary of real data sets do iris (iris).

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[Experimental exercise] Realization of Iris (Iris) data set classification based on SVM (Python implementation)

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Iris data (PCA Principal Component Analysis)

C ++ implementation of two-dimensional data based on neighborhood excluding outliers

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iris data set visualization python

2.3 Comparison of the two algorithms

Comparison of these two algorithms?

Machine learning classification algorithm-training model based on the iris data set

[Getting started] Detailed k-means clustering function (based on the iris data set) [MATLAB]

Based on the iris data set, the perceptron is used to implement linear binary classification.

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Several iris data classification model training set

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Iris data set analysis-logistic classification

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Use the knn algorithm to classify the iris data set

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KNN-Taking the iris data set as an example

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Use seaborn and matplotlib to draw charts of two sets of data (National Bureau of Statistics resident consumption index and iris data set)

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