文件名称:LDA
介绍说明--下载内容来自于网络,使用问题请自行百度
使用fisher线性判别函数对iris与sonar数据集进行分类(Using Fisher linear discriminant function to classify iris and sonar datasets)
相关搜索: lda
(系统自动生成,下载前可以参看下载内容)
下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
LDA\code\.idea\code.iml | 463 | 2019-09-21 |
LDA\code\.idea\misc.xml | 316 | 2019-09-21 |
LDA\code\.idea\modules.xml | 267 | 2019-09-21 |
LDA\code\.idea\workspace.xml | 25379 | 2019-10-08 |
LDA\code\data seg.py | 5211 | 2019-09-26 |
LDA\code\data seg_sonar.py | 5186 | 2019-09-26 |
LDA\code\iris.py | 4089 | 2019-09-26 |
LDA\code\sonar.py | 4109 | 2019-09-27 |
LDA\iris\class1_train_A.csv | 4410 | 2019-09-26 |
LDA\iris\class1_train_B.csv | 4410 | 2019-09-26 |
LDA\iris\class1_train_C.csv | 4410 | 2019-09-26 |
LDA\iris\class1_train_D.csv | 4410 | 2019-09-26 |
LDA\iris\class1_train_E.csv | 4410 | 2019-09-26 |
LDA\iris\class2_train_A.csv | 4410 | 2019-09-26 |
LDA\iris\class2_train_B.csv | 4410 | 2019-09-26 |
LDA\iris\class2_train_C.csv | 4410 | 2019-09-26 |
LDA\iris\class2_train_D.csv | 4410 | 2019-09-26 |
LDA\iris\class2_train_E.csv | 4410 | 2019-09-26 |
LDA\iris\iris.data.class1.csv | 918 | 2019-09-26 |
LDA\iris\iris.data.class2.csv | 900 | 2019-09-26 |
LDA\iris\mat1.csv | 9094 | 2019-09-21 |
LDA\iris\mat2.csv | 9123 | 2019-09-21 |
LDA\iris\mat3.csv | 9126 | 2019-09-21 |
LDA\iris\pic\myplot1.png | 12855 | 2019-09-26 |
LDA\iris\pic\myplot2.png | 13696 | 2019-09-26 |
LDA\iris\pic\myplot3.png | 13398 | 2019-09-26 |
LDA\iris\pic\myplot4.png | 12652 | 2019-09-26 |
LDA\iris\pic\myplot5.png | 12432 | 2019-09-26 |
LDA\iris\test_A.csv | 3780 | 2019-09-26 |
LDA\iris\test_B.csv | 3780 | 2019-09-26 |
LDA\iris\test_C.csv | 3780 | 2019-09-26 |
LDA\iris\test_D.csv | 3780 | 2019-09-26 |
LDA\iris\test_E.csv | 3780 | 2019-09-26 |
LDA\result\log_iris.txt | 1275 | 2019-09-26 |
LDA\result\log_sonar.txt | 6211 | 2019-09-27 |
LDA\sonar\class1_train_A.csv | 117502 | 2019-09-26 |
LDA\sonar\class1_train_B.csv | 117502 | 2019-09-26 |
LDA\sonar\class1_train_C.csv | 117502 | 2019-09-26 |
LDA\sonar\class1_train_D.csv | 117502 | 2019-09-26 |
LDA\sonar\class1_train_E.csv | 117502 | 2019-09-26 |
LDA\sonar\class2_train_A.csv | 134288 | 2019-09-26 |
LDA\sonar\class2_train_B.csv | 134288 | 2019-09-26 |
LDA\sonar\class2_train_C.csv | 134288 | 2019-09-26 |
LDA\sonar\class2_train_D.csv | 134288 | 2019-09-26 |
LDA\sonar\class2_train_E.csv | 134288 | 2019-09-26 |
LDA\sonar\pic\myplot1.png | 12385 | 2019-09-27 |
LDA\sonar\pic\myplot2.png | 12385 | 2019-09-27 |
LDA\sonar\pic\myplot3.png | 12385 | 2019-09-27 |
LDA\sonar\pic\myplot4.png | 13098 | 2019-09-27 |
LDA\sonar\pic\myplot5.png | 13624 | 2019-09-27 |
LDA\sonar\sonarClass1.csv | 40120 | 2019-09-26 |
LDA\sonar\sonarClass2.csv | 45964 | 2019-09-26 |
LDA\sonar\test_A.csv | 65618 | 2019-09-26 |
LDA\sonar\test_B.csv | 65618 | 2019-09-26 |
LDA\sonar\test_C.csv | 65618 | 2019-09-26 |
LDA\sonar\test_D.csv | 65618 | 2019-09-26 |
LDA\sonar\test_E.csv | 65618 | 2019-09-26 |
LDA\code\.idea\inspectionProfiles | 0 | 2019-09-21 |
LDA\code\.idea | 0 | 2019-10-22 |
LDA\iris\pic | 0 | 2019-10-22 |
LDA\sonar\pic | 0 | 2019-10-22 |
LDA\code | 0 | 2019-10-22 |
LDA\iris | 0 | 2019-10-22 |
LDA\result | 0 | 2019-10-22 |
LDA\sonar | 0 | 2019-10-22 |
LDA | 0 | 2019-10-22 |
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