The Adept K-Nearest Neighbour Algorithm - An optimization to the Conventional K-Nearest Neighbour Algorithm
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2016, Vol 4, Issue 1
Abstract
This research aims to study the efficiency of a well-known classification algorithm, K-Nearest Neighbour, and suggest a new classification method, an optimised version than one of the existing classification method. The purpose of this research is to reduce the time taken by the existing K- Nearest Neighbour Classification method. The classification algorithm’s purpose is to identify the characteristics that indicate the class to which each document belongs. This pattern not only helps in understanding the existing data but also to predict how new instances will behave. Classification algorithms create classification models by examining already classified data (cases) and inductively finding a predictive pattern.
Authors and Affiliations
Anjali Jivani, Karishma Shah, Shireen Koul, Vidhi Naik
Keywords
Related Articles
- EP ID EP278362
- DOI 10.14738/tmlai.41.1876
- Views 98
- Downloads 0
Extracting Sentiments and Summarizing Health Reviews from Social Media Using Machine Learning Techniques
Most of the health organizations provide an array of medical services and request their beneficiaries to provide their experience’s in the form of opinion/reviews for which they are associated. Doctors of national and in...
Applying FSSAM for Currency Rates Forecasting
Currency rates forecasting in real-time is a milestone in the process of financial decision making. Assessing the historical performance of currency rates is a major concept in financial management. In this paper Fuzzy S...
The GeoRSS Model and the Design of a Ranking Algorithm in Semantic Web
Ecommerce has become nowadays an influential actor in the international trade industry and has greatly contributed in the economic development of nations. The fact of dealing with this field along with the evolution of t...
Feature-rich PoS Tagging through Taggers Combination : Experience in Arabic
Since words can play different syntactic roles in different contexts, it is not trivial to assign the appropriate morphosyntactic category to each word according to the context. Part of Speech (PoS) tagging is the task w...
Sentiment Analysis tool for Pharmaceutical Industry & Healthcare
Sentiment analysis (SA) is broadly used to analyze people’s opinions about a product or an event to identify breakpoints in public opinion. Particularly, pharmaceutical companies use SA to ensure they gain a competitive...