Is there any way to use trained neural network using "SOM toolbox" for classification of data in data set? For example I have data, I put it to the network and network tells me the type of data.
SOM toolbox clasificate data
368 Views Asked by Mip At
1
There are 1 best solutions below
Related Questions in MATLAB
- Use translateProvider.useLoader with Typescript
- Optional method in base class
- Putting Lambdas in OR statement
- Deleting namespace in Socket IO
- Angularjs+Typescript directive implementing $compile
- Typescript type inference inside for loop
- Why void functions are allowed in left part of assignment in Typescript?
- Tools for Apache Cordova - TypeScript debugger jumps to wrong line
- Typescript - is there a way to specify a global reference?
- How to angularjs app.service and $q in typescript
Related Questions in NEURAL-NETWORK
- Use translateProvider.useLoader with Typescript
- Optional method in base class
- Putting Lambdas in OR statement
- Deleting namespace in Socket IO
- Angularjs+Typescript directive implementing $compile
- Typescript type inference inside for loop
- Why void functions are allowed in left part of assignment in Typescript?
- Tools for Apache Cordova - TypeScript debugger jumps to wrong line
- Typescript - is there a way to specify a global reference?
- How to angularjs app.service and $q in typescript
Related Questions in SELF-ORGANIZING-MAPS
- Use translateProvider.useLoader with Typescript
- Optional method in base class
- Putting Lambdas in OR statement
- Deleting namespace in Socket IO
- Angularjs+Typescript directive implementing $compile
- Typescript type inference inside for loop
- Why void functions are allowed in left part of assignment in Typescript?
- Tools for Apache Cordova - TypeScript debugger jumps to wrong line
- Typescript - is there a way to specify a global reference?
- How to angularjs app.service and $q in typescript
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular # Hahtags
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
I do not know if you are asking for any specific SOM toolbox but I will give a general idea.
First of all it is possible to use SOM to classify data as long as you have some labelled training data, or otherwise you classify each node of the network in one specific class:
In the first case, you train your network with both inputs and desired result as features. After learning, you give the new test data to classify with only the inputs (without the desired result). The network give you back which was the best matching unit, and with this you can access to which desired result it corresponds.
In the second case you train your network in the normal way (with only the inputs as features). You classify the different network nodes. After learning, you give the new test data to classify again with only the inputs. The network give you back which was the best matching unit, and with this you can access to which class it points to.
The second case should be straightforward in any toolbox, yet the first one is not. For the first case my simple suggestion (without coding yourself) would be to train 2 networks: one with both the inputs and desired result as features, and one with only the inputs. Replace the weights discovered by the learning process of the network with only the inputs, with the ones from the inputs+result and now you can use this as normal. Get the BMU and point to the respective class.