This paper studies nearest neighbor classification in a model where unlabeled data points arrive in a stream, and the learner decides, for each one, whether to ask for its label. Are there generic ways to augment or modify any selective sampling strategy so as to ensure the consistency of the resulting nearest neighbor classifier?

A distance based classification is one of the popular methods for classifying instances using a point-to-point distance based on the nearest neighbour or k-NEAREST NEIGHBOUR (k-NN). The representation of distance measure can be one of the various measures available (e.g. Euclidean distance, Manhattan distance, Mahalanobis distance or other specific distance measures). In this paper, we propose ...

Developing a stable early warning system (EWS) model that is capable to give an accurate prediction is a challenging task. This paper introduces k-nearest neighbour (k-NN) method which never been applied in predicting currency crisis before with the aim of increasing the prediction accuracy. The proposed k-NN performance depends on the choice of a distance that is used where in our analysis; we...

Buah rambutan merupakan salah satu tanaman buah lokal Kabupaten Merauke. Tanaman ini dihasilkan di beberapa daerah antara lain Muting, Ulilin, dan Bupul. Hasil produksi diekspor ke sekitar kota Merauke seperti Boven Digoel, Mappi, Asmat. Peningkatan jumlah dapat dilakukan dengan cara menjaga agar pohon tidak terinfeksi hama atau penyakit. Yang mana sejak dini petani harus selalu waspada untuk m...