silvaemerson/knn_implementation

K-Nearest Neighbours Algorithm

Breast Cancer classification with KNN algorithm

What is KNN?

In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression. In both cases, the input consists of the k closest training examples in the feature space.

URL Dataset

Breast Cancer Winsconsin (Diagnostic) Data set, from UCI - Machine Learning Repository

Heatmap for correlation view

Used columns in the heatmap above

Attribute	Abbreviation
Clump Thickness	CT
Uniformity of Cell Size	UCS
Uniformity of Cell Shape	UC
Marginal Adhesion	MA
Single Epithelial Cell Size	SECS
Bare Nuclei	BN
Bland Chromatin	BC
Normal Nucleoli	NN
Mitoses	M

According the correlations heatmap the CT, M, BN and BC attributes are the bests to divide data into classes, because the correlactions between them are the most closest of 0.

• Colaborators
  • Émerson Silva
  • Luís Eduardo