Matlab Database Connectivity Example code

Databases is collection of structured data .Database actions are data manipulate,data deletion and data insertion. This action we do on Matlab.This action makes use following operational syntax.

1.Create Connection String

Connection String used to connect the database.That syntax as follows

conn_str = database('database_name','username','password','driver','database_url');

Example :

>>conn_str = database('my_db','scott','tiger','oracle.jdbc.driver.OracleDriver','jdbc:oracle:oci7:');

Here we create the connection string on Oracle database.Like you connect different type of  databases.

2.Execute Query String on Database

exec function to execute the query strings on database.Syntax as follows

curs = exec(conn_str, 'sql_query');

Example :

>>curs = exec(conn_str, 'Select * from My_Table');

 above example retrieve the all data's from My_Table.Like you do execute all type of sql queries.

3.Fetch the cursor to a MATLAB variable 

Here we convert the cursor data into matlab variable. example code as below

>>my_data = fetch(curs);

Finally my_data contain all data's of My_Table.

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Matlab Predefined clustering Function | List of Matlab clustering Function

Clustering approach is Forming the groups of data from Large amount of data.In matlab contain lot of Predefined functions are there.That below we mention for you.It is very useful to you.

If you want to find cluster for Image means ,you have convert the matrix into one vector. Then apply below approaches.

Cluster Methods	Predefined Function
Fuzzy C-Means Clustering	fcm(data,k) k is groups
Hierarchical Clustering	Y = pdist(data,'cityblock'); Z = linkage(Y,'average'); T = cluster(Z,'maxclust',3)
K-Means Clustering	kmeans(data,K) k is groups

These above's are Predefined function.Here data is input data for each approach.

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