Classify data without training data

조회 수: 4 (최근 30일)
sagar
sagar 2014년 4월 29일
답변: sagar 2014년 4월 29일
I have a data like
7.067584393
7.058334315
7.053180933
7.029897855
7.019380453
6.995541483
6.970042991
6.946210158
6.935758126
6.96556777
6.996278756
7.016032692
7.03634689
7.056638911
7.059383196
7.033728869
It is in excel file.. I would like to classify this data...if svm is possible then it is good..

답변 (2개)

Walter Roberson
Walter Roberson 2014년 4월 29일
It is not possible. You could possibly cluster the data, but not classify it.
In order to classify data you need to have an algorithm that knows what to look for, or you need to create a mathematical model of what kinds of samples belong in which class. In order to create that kind of model, you need some sample data and you need to be told what the correct classification is for that sample data. The two together are used to estimate the parameters of the model. Then the parameters estimated can be applied to data for which the classification is not known, in order to find the most plausible class that the data belongs to.

sagar
sagar 2014년 4월 29일
suggest any code of algorithm and parameter...

카테고리

Help CenterFile Exchange에서 Statistics and Machine Learning Toolbox에 대해 자세히 알아보기

제품

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by