Added the implementation of KNN advance algorithm

[harshendram]

This pull request introduces a new implementation of the k-Nearest Neighbors (k-NN) classification algorithm in C++. The code provides a complete example, including a simple dataset, a function to compute Euclidean distance, and logic to classify a query point using k-NN.

New k-NN algorithm implementation:

• Added the Point struct to represent data points with features and class labels. (CPP/algorithms/searching/KNNalgorithm.cpp)
• Implemented the euclideanDistance function to calculate the distance between two feature vectors. (CPP/algorithms/searching/KNNalgorithm.cpp)
• Added the classifyKNN function, which computes distances, sorts neighbors, and predicts the majority class label for a query point. (CPP/algorithms/searching/KNNalgorithm.cpp)
• Provided a sample dataset and query in main, demonstrating how to use the k-NN classifier and output the predicted class. (CPP/algorithms/searching/KNNalgorithm.cpp)

Dear Maintainers
@Pradeepsingh61 please add the required labels such as hacktoberfest-accepted and hacktoberfest2025 and merge the PR

[github-actions]

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[github-actions]

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[Karanjot786]

@Pradeepsingh61 now you can merge it