Skip to content

CSE 5334(Data Mining) project to classify images using classification, linear regression, centroid not using any external libraries.

License

Notifications You must be signed in to change notification settings

jenildesai25/ATNT50

Repository files navigation

ATNT50

CSE 5334(Data Mining) project to classify images using classification, linear regression, centroid not using any external libraries.

KNN takes data(data frame) in row format. that means every row contains one image and starting 1st value is the label. For Example: data frame should be in [1,2,3,4,5,6,7,8,9] here 1 is the label and after that [2,3,4,5,6,7,8,9] is the data.

Centroid takes data(data frame) in row format. For Example: data frame should be in [1,2,3,4,5,6,7,8,9] here 1 is the label and after that [2,3,4,5,6,7,8,9] is the data.

SVM takes data(data frame) in row format. For Example: data frame should be in [1,2,3,4,5,6,7,8,9] here 1 is the label and after that [2,3,4,5,6,7,8,9] is the data.

Linear Regression takes data(data frame) in column format.

About

CSE 5334(Data Mining) project to classify images using classification, linear regression, centroid not using any external libraries.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages