Answer:
make several extra copies of the pictures and frame them right away if they're printed out.
Explanation:
<span>public static String compress (String original)
{
StringBuilder compressed = new StringBuilder();
char letter = 0;
int count = 1;
for (int i = 0; i < original.length(); i++) {
if (letter == original.charAt(i)) {
count = count + 1;
}
else {
compressed = count !=1 ? compressed.append(count) : compressed;
compressed.append(letter);
letter = original.charAt(i);
count = 1;
}
}
compressed = count !=1 ? compressed.append(count) : compressed;
compressed.append(letter);
return compressed.toString();
}</span>
K-means can be used for hierarchical clustering by creating a hierarchical tree structure. This is done by setting the number of clusters to be created, and then running the k-means clustering algorithm for each level of the tree. For each level, the clusters created are then combined to form the next level of the tree. This process is repeated until the desired number of clusters has been created.
<h3>The Use of K-Means Clustering for Hierarchical Clustering</h3>
K-means clustering is a popular technique used in machine learning and data mining for partitioning data into clusters. It is a flat clustering algorithm, in which data points are grouped according to their similarity. While k-means clustering is suitable for partitioning data into a fixed number of clusters, it can also be used for hierarchical clustering. Hierarchical clustering is a clustering technique that creates a hierarchical tree structure, where each level of the tree is made up of clusters created by the k-means clustering algorithm.
The process of creating a hierarchical tree structure using k-means clustering is fairly straightforward. First, the number of clusters to be created is set, and then the k-means clustering algorithm is run for each level of the tree. For each level, the clusters created are then combined to form the next level of the tree until the desired number of clusters has been created. This process ensures that the clusters created are meaningful and have similar characteristics.
Learn more about k-means :
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Answer:
Following are the statement in the c++ language
ifstream inFile; // declared a variable inFile
ofstream outFile;
//declared a variable outFile
Explanation:
The ifstream and ofstream is the file stream object in the c++ Programming language .The ifstream file stream object is used for reading the contents from the file whereas the ofstream file stream object is used for writting the contents into the file.
- We can create the variable for the ifstream and ofstream These variable is used for reading and writing into the File.
- Following are the syntax to create the ifstream variable and ofstream variable
ifstream variablename;
ofstream variablename
