Mar 24, 2017 · This paper presents an alternative, low-complexity formulation of the TS optimization procedure for K-Means clustering. This approach does not ...
This paper presents an alternative, low-complexity formulation of the TS optimization procedure for K-Means clustering that achieves a significant ...
This paper presents an alternative, low-complexity formulation of the TS optimization procedure for K-Means clustering. This approach does not require many ...
Mar 24, 2017 · This paper presents an alternative, low-complexity formulation of the TS optimization procedure for K-Means clustering. This approach does not ...
This paper presents an alternative, low-complexity formulation of the TS optimization procedure for K-Means clustering. This approach does not require many ...
This paper presents an alternative, low-complexity formulation of the TS optimization procedure for K-Means clustering. This approach does not require many ...
Bibliographic details on K-Means Clustering using Tabu Search with Quantized Means.
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In this paper we develop a new algorithm for solving this problem based on a tabu search technique—Tabu K-Harmonic means (TabuKHM). The experiment results on ...
The tabu search approach for clustering patterns in paper [10] is illustrated in Figure 1. The tabu search approach is also combined with the K-means (or GLA).
A tabu search algorithm is proposed for the codebook generation in vector quantization. The key question is the definition of neighboring solution. Making ...