I use K-Means algorithm to create clusters. As you know K-means algorithm needs cluster count as parameter. I try cluster counts as starting two from eight and calculate all C-Index of clusters in every looping then get the avegare of these C-Indexes. Then compare C-Index avegares and choose the minimum C-Index average as best quality cluster count. Is that true way for detecting cluster count?
Related Questions in DATA-MINING
- No responses from google places text search api
- compare python requests with curl
- file_get_contents not working on my server but works fine anywhere else?
- Converting curl command to iOS
- cURL PHP code redirect after success
- curl command cannot get contents from api.github, but the network is fine
- PHP cURL Request for Web Service Returning Error
- How to convert CURL command to Swift
- curl command don't work in some cases
- Silence output curl_setopt_array
Related Questions in CLUSTERED-INDEX
- No responses from google places text search api
- compare python requests with curl
- file_get_contents not working on my server but works fine anywhere else?
- Converting curl command to iOS
- cURL PHP code redirect after success
- curl command cannot get contents from api.github, but the network is fine
- PHP cURL Request for Web Service Returning Error
- How to convert CURL command to Swift
- curl command don't work in some cases
- Silence output curl_setopt_array
Related Questions in KNIME
- No responses from google places text search api
- compare python requests with curl
- file_get_contents not working on my server but works fine anywhere else?
- Converting curl command to iOS
- cURL PHP code redirect after success
- curl command cannot get contents from api.github, but the network is fine
- PHP cURL Request for Web Service Returning Error
- How to convert CURL command to Swift
- curl command don't work in some cases
- Silence output curl_setopt_array
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?
Popular Tags
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)
There is no one correct way to detect cluster count. See following google search, this is still an active research area. Wikipedia articles says that:
Only you can determine if using c-index in this way is a good way to determine cluster numbers in your domain. See another question of using c-index in clustering.